Automatic Hyperparameter Tuning / AutoML

Also known as AutoML, Automatic Machine Learning, Meta-optimization, Meta-learning, and so on.

So not only you want to build neural networks and other machine learning algorithms, but also you want to find the best hyperparameters for them automatically. We’ll here demonstrate how it’s possible with Neuraxle.

AutoML loop

Neuraxle provides an AutoML step which can perform automatic tuning of the hyperparameters of any neuraxle-defined pipeline. It also provides multiple hyperparameter research strategies, interfaces to store and load results and a high degree of customisability. The following tutorial will provide an example of the main features of the AutoML step.

Define your problem

For this tutorial, we’ll use a synthetic binary classification dataset generated by sklearn with 10k samples.

from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
import shutil

n_classes = 2
classes = list(range(n_classes))

def generate_classification_data():
    data_inputs, expected_outputs = make_classification(
        n_samples=10000,
        n_informative=10,
        n_repeated=0,
        n_classes=n_classes,
        n_features=15,
        n_clusters_per_class=1,
        class_sep=1.0,
        flip_y=0,
        weights=[0.5, 0.5]
    )

    X_train, X_test, y_train, y_test = train_test_split(
        data_inputs,
        expected_outputs,
        test_size=0.20
    )

    return X_train, y_train, X_test, y_test


X_train, y_train, X_test, y_test = generate_classification_data()

Define your pipeline

Consider a sklearn classifier with a defined hyperparameter space.

from neuraxle.base import BaseTransformer
from neuraxle.pipeline import Pipeline
from neuraxle.hyperparams.space import HyperparameterSpace
from neuraxle.steps.numpy import NumpyRavel
from neuraxle.steps.output_handlers import OutputTransformerWrapper
from typing import List

# sklearn classifiers, and sklearn wrapper for neuraxle
from neuraxle.steps.sklearn import SKLearnWrapper
from sklearn.tree import DecisionTreeClassifier, ExtraTreeClassifier
from sklearn.linear_model import RidgeClassifier, LogisticRegression, SGDClassifier


# neuraxle distributions
from neuraxle.hyperparams.distributions import Choice, RandInt, Boolean, LogUniform, FixedHyperparameter

classifier = SKLearnWrapper(SGDClassifier(),
                   HyperparameterSpace({
                       'max_iter': FixedHyperparameter(1),
                       'learning_rate': FixedHyperparameter('constant'),
                       'loss': FixedHyperparameter('hinge'),#Choice(['hinge','log', 'modified_huber', 'squared_hinge']),
                       'penalty':Choice(['l2', 'l1', 'elasticnet']),
                       'alpha':LogUniform(1e-9, 1e-3),
                       'eta0': LogUniform(1e-6, 1e-3)
                   }),
                   use_partial_fit=True,
                   partial_fit_kwargs={'classes': classes})

Consider a pipeline which performs the following: shuffles the data on training and process incrementally the data in batch of 32 samples with the classifier.

from neuraxle.steps.flow import ChooseOneStepOf, TrainOnlyWrapper
from neuraxle.steps.data import DataShuffler
from neuraxle.pipeline import MiniBatchSequentialPipeline

p: Pipeline = Pipeline([
    TrainOnlyWrapper(DataShuffler()),
    MiniBatchSequentialPipeline([
        classifier
    ], batch_size=32,
    keep_incomplete_batch=True)
])

Choose a validation splitter

Let’s pick the ValidationSplitter which is enough for most machine learning problems:

from neuraxle.metaopt.validation import ValidationSplitter

validation_splitter = ValidationSplitter(validation_size=0.20)

This validation splitter will perform a single 80%-20% split of the dataset.

We have also implemented KFoldCrossValidationSplitter if you are interested in using cross-validation for your machine learning problem.

Define a the main scoring metric with a first MetricsCallback

Let’s pick the accuracy score as our scoring metric for now, as the dataset does not suffer from data imbalance:

from neuraxle.metaopt.callbacks import MetricCallback
from sklearn.metrics import accuracy_score

scoring_callback = MetricCallback(
    'accuracy',
    metric_function=accuracy_score,
    higher_score_is_better=True,
    log_metrics=True
)

Add other metric callbacks with MetricCallback (optional)

During training, we’ll monitor the f1 score, the precision and the recall on the training and validation dataset. We will make use of the sklearn implementation of these metric, using a weighted average since we are in a multiclass setting.

from neuraxle.metaopt.callbacks import MetricCallback
from sklearn.metrics import f1_score, precision_score, recall_score

callbacks = [
    scoring_callback,
    MetricCallback('f1', metric_function=f1_score, higher_score_is_better=True, log_metrics=False),
    MetricCallback('precision', metric_function=precision_score, higher_score_is_better=True, log_metrics=False),
    MetricCallback('recall', metric_function=recall_score, higher_score_is_better=True, log_metrics=False)
]

Multiple callbacks, such as EarlyStoppingCallback and SaveBestModelCallback are available as part of Neuraxle. You could also implement your own callback by inheriting from BaseCallback.

Select an hyperparams repository

For the sake of this example, let’s pick the VanillaHyperparamsRepository because we don’t need to persist trial files. HyperparamsOnDiskRepository​ is also available if you want to use json files to persist trials.

from neuraxle.metaopt.repositories.repo import VanillaHyperparamsRepository
from neuraxle.base import ExecutionContext

hyperparams_repository = VanillaHyperparamsRepository(cache_folder=ExecutionContext.get_new_cache_folder())

Select an hyperparams optimizer

We’ll use the Tree Parzen Estimator algorithm as a research strategy.

from neuraxle.metaopt.hyperopt.tpe import TreeParzenEstimator

hyperparams_optimizer = TreeParzenEstimator(number_of_initial_random_step=5)

Note: as of now, TreeParzenEstimator is the first usable Apache 2 public TPE implementation ! Thanks to Éric Hamel for implementing this amazing algorithm.

Also note that if you don’t define the hyperparams_optimizer argument, RandomSearchSampler will be used by default.

Create, and launch AutoML loop

We are now ready to create the AutoML step that will execute the training loop:

from neuraxle.metaopt.auto_ml import AutoML

n_trials = 10
n_epochs = 10

auto_ml = AutoML(
    pipeline=p,
    validation_splitter=validation_splitter,
    n_trials=n_trials,
    epochs=n_epochs,
    callbacks=callbacks,
    hyperparams_repository=hyperparams_repository,
    refit_best_trial=True
)

Run 10 trials

auto_ml = auto_ml.fit(X_train, y_train)

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

/usr/local/lib/python3.7/dist-packages/neuraxle/metaopt/validation.py:204: UserWarning: Warning: changed GridExplorationSampler.expected_n_trials from 0 to 12 due to high amount of trials. This may lead to a non-reproducible search using RandomSearch as a fallback past this point.
  f"Warning: changed {self.__class__.__name__}.expected_n_trials from "
[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    1e-09),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    1e-06),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    1e-09),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    1e-06),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.AutoML][base.py:950]: Started!

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.AutoML][base.py:950]: Started!

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Started!

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Started!

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:27:50.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91375

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9185360094451004

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8781038374717833

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:27:51.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9075

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.915

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.915

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9108165109972883

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9196217494089833

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9196217494089833

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8671830177854274

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8800904977375565

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8800904977375565

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9590736040609137

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.90859375

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.90859375

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.915625

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.915625

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9118577670634322

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9118577670634322

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9201655824955647

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9201655824955647

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8682926829268293

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8682926829268293

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8810872027180068

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8810872027180068

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9600253807106599

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9600253807106599

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.91

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.91

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.918125

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.918125

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9130697253244793

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9130697253244793

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9225310467179184

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9225310467179184

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8707541738629822

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8707541738629822

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.883352208380521

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.883352208380521

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9597081218274112

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9597081218274112

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:27:52.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9128125

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9128125

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91875

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.91875

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9155824508320726

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9155824508320726

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.923076923076923

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.923076923076923

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8750722961249277

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8750722961249277

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8843537414965986

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8843537414965986

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9600253807106599

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9600253807106599

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.91609375

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.91609375

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.92

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.92

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.918549977248597

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.918549977248597

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9241706161137441

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9241706161137441

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8799767509444929

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.8799767509444929

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8863636363636364

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.8863636363636364

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9606598984771574

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9606598984771574

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    1e-09),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    1e-06),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    1e-09),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    1e-06),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

/usr/local/lib/python3.7/dist-packages/neuraxle/metaopt/validation.py:204: UserWarning: Warning: changed GridExplorationSampler.expected_n_trials from 12 to 25 due to high amount of trials. This may lead to a non-reproducible search using RandomSearch as a fallback past this point.
  f"Warning: changed {self.__class__.__name__}.expected_n_trials from "
[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Started!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Started!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Started!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Started!

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9796875

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9796875

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9793256997455471

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9793256997455471

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9783549783549783

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9783549783549783

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9818239795918368

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9818239795918368

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9777503090234858

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9777503090234858

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9768401015228426

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9768401015228426

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9789603960396039

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9789603960396039

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:27:53.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.980625

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.980625

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.980064308681672

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.980064308681672

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9799498746867168

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9799498746867168

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9934810951760105

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9934810951760105

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9923857868020305

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9923857868020305

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9670050761421319

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9670050761421319

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9678217821782178

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9678217821782178

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812108559498957

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812108559498957

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.979310344827586

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.979310344827586

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9934959349593496

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9934959349593496

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9923761118170267

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9923761118170267

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98359375

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98359375

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9831919321274212

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9831919321274212

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922455573505654

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922455573505654

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9743020304568528

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9743020304568528

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:27:54.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98359375

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98359375

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9832134292565947

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9832134292565947

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.983177570093458

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.983177570093458

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9909764743796327

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9909764743796327

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899623588456713

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899623588456713

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9755710659898477

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9755710659898477

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9825

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9825

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9825

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9825

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9820397690827454

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9820397690827454

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.982521847690387

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.982521847690387

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928664072632944

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928664072632944

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911838790931989

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911838790931989

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9714467005076142

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9714467005076142

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98421875

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98421875

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9825

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9825

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.983883835966172

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.983883835966172

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9826302729528535

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9826302729528535

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9897271268057785

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9897271268057785

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9850746268656716

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9850746268656716

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9781091370558376

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9781091370558376

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9801980198019802

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9801980198019802

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:27:55.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98546875

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98546875

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9851698293733057

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9851698293733057

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9807572936064556

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9807572936064556

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903815325424815

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903815325424815

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9838107098381071

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9838107098381071

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9800126903553299

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9800126903553299

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9777227722772277

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9777227722772277

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.984375

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.984375

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.984649824112568

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.984649824112568

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9844042420461635

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9844042420461635

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9925854287556415

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9925854287556415

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9924528301886792

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9924528301886792

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9768401015228426

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9768401015228426

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985625

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985625

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98375

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98375

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9852988175135826

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9852988175135826

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9837905236907731

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9837905236907731

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9925949774629749

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9925949774629749

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9912060301507538

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9912060301507538

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9781091370558376

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9781091370558376

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Finished!

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Finished!

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.0002483141561788459),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.0003714842923519359),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l2')])

[2022-04-19_03:27:56.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.0002483141561788459),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.0003714842923519359),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l2')])

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.AutoML][base.py:950]: Started!

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.AutoML][base.py:950]: Started!

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Started!

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Started!

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97546875

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97546875

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.974375

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.974375

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.974980079681275

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.974980079681275

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9745815251084934

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9745815251084934

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9795068844060199

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9795068844060199

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9763975155279503

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9763975155279503

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9704949238578681

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9704949238578681

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98015625

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98015625

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9795983935742971

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9795983935742971

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9780564263322884

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9780564263322884

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9921900423039375

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9921900423039375

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911054637865311

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911054637865311

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9673223350253807

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9673223350253807

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9803125

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9803125

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9797817715019255

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9797817715019255

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806128830519075

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806128830519075

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9912337662337662

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9912337662337662

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911504424778761

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911504424778761

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:27:57.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9815625

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9815625

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97875

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97875

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9810715431504653

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9810715431504653

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9786967418546366

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9786967418546366

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922128487994809

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922128487994809

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911167512690355

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911167512690355

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9701776649746193

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9701776649746193

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98203125

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98203125

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9815852682145717

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9815852682145717

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9909473003556418

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9909473003556418

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9723984771573604

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9723984771573604

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98234375

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98234375

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9818881230966501

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9818881230966501

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9799749687108885

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9799749687108885

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922254616132167

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922254616132167

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911392405063291

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911392405063291

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717639593908629

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717639593908629

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:27:58.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9827144686299617

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9827144686299617

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806612601372426

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806612601372426

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9916020671834626

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9916020671834626

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886792452830189

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886792452830189

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9739847715736041

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9739847715736041

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98328125

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98328125

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9829046173510146

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9829046173510146

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9807093963907902

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9807093963907902

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9900225297714838

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9900225297714838

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.986232790988736

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.986232790988736

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9758883248730964

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9758883248730964

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9752475247524752

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9752475247524752

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.982703395259449

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.982703395259449

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.98

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.98

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922380336351876

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922380336351876

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98989898989899

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98989898989899

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9733502538071066

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9733502538071066

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:27:59.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98328125

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98328125

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9828772603616578

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9828772603616578

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9916047788182112

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9916047788182112

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9743020304568528

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9743020304568528

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.2.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.00016034824872348714),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.0002580521774128594),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l2')])

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.00016034824872348714),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.0002580521774128594),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l2')])

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.AutoML][base.py:950]: Started!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.AutoML][base.py:950]: Started!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97421875

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97421875

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9736884069526391

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9736884069526391

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.972670807453416

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.972670807453416

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9788393715934595

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9788393715934595

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9763092269326683

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9763092269326683

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97859375

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97859375

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.976875

[2022-04-19_03:28:00.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.976875

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9779919678714859

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9779919678714859

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9767733835530445

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9767733835530445

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9905629677839245

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9905629677839245

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9910828025477707

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9910828025477707

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9657360406091371

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9657360406091371

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9796875

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9796875

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9791399229781771

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9791399229781771

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9781113195747342

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9781113195747342

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9905844155844156

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9905844155844156

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.988621997471555

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.988621997471555

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9679568527918782

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9679568527918782

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9678217821782178

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9678217821782178

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.980625

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.980625

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9801026957637997

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9801026957637997

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9793621013133208

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9793621013133208

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9915584415584415

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9915584415584415

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9898862199747156

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9898862199747156

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9689086294416244

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9689086294416244

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98140625

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98140625

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9809203142536475

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9809203142536475

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.98

[2022-04-19_03:28:01.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.98

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9915721231766612

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9915721231766612

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98989898989899

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98989898989899

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9704949238578681

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9704949238578681

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812469947106908

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812469947106908

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.98

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.98

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9915775834143181

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9915775834143181

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98989898989899

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98989898989899

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9711294416243654

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9711294416243654

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98234375

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98234375

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9819113174323675

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9819113174323675

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9909531502423263

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9909531502423263

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9730329949238579

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9730329949238579

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98265625

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98265625

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9822598689467796

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9822598689467796

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9807093963907902

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9807093963907902

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.989694041867955

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.989694041867955

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.986232790988736

[2022-04-19_03:28:02.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.986232790988736

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9749365482233503

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9749365482233503

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9752475247524752

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9752475247524752

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98265625

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98265625

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.982231471106131

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.982231471106131

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9912762520193861

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9912762520193861

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9733502538071066

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9733502538071066

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9834375

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9834375

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.98304

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.98304

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9800249687890136

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9800249687890136

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9916074887023887

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9916074887023887

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886649874055415

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886649874055415

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9746192893401016

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9746192893401016

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.3.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.0003362800636342048),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    3.1187947534706375e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.0003362800636342048),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    3.1187947534706375e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.AutoML][base.py:950]: Started!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.AutoML][base.py:950]: Started!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:03.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.95078125

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.95078125

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.944375

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.944375

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9505416862929817

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9505416862929817

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.945830797321972

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.945830797321972

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9409387628225054

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9409387628225054

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9305389221556887

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9305389221556887

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9603426395939086

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9603426395939086

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9616336633663366

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9616336633663366

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9609375

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9609375

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9575

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9575

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9600638977635783

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9600638977635783

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9576059850374065

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9576059850374065

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9668597168597168

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9668597168597168

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.964824120603015

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.964824120603015

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9533629441624365

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9533629441624365

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9504950495049505

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9504950495049505

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.96484375

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.96484375

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.964375

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.964375

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9639596347909658

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9639596347909658

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9642184557438794

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9642184557438794

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.973471368489162

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.973471368489162

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.978343949044586

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.978343949044586

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9546319796954315

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9546319796954315

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9504950495049505

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9504950495049505

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:04.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9678125

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9678125

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.966875

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.966875

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9670083279948751

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9670083279948751

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9666876178504086

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9666876178504086

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9763906856403622

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9763906856403622

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9821200510855683

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9821200510855683

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9578045685279187

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9578045685279187

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9517326732673267

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9517326732673267

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.96984375

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.96984375

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.96875

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.96875

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9691051704818313

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9691051704818313

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9686323713927227

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9686323713927227

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9780290791599354

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9780290791599354

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9821882951653944

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9821882951653944

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9603426395939086

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9603426395939086

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9554455445544554

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9554455445544554

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9725

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9725

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.969375

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.969375

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9718490083173384

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9718490083173384

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9692789968652038

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9692789968652038

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.98

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.98

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9822109275730623

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9822109275730623

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9638324873096447

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9638324873096447

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9566831683168316

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9566831683168316

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:05.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9734375

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9734375

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.971875

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.971875

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.972808701215611

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.972808701215611

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9718574108818011

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9718574108818011

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9809677419354839

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9809677419354839

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823008849557522

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823008849557522

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9647842639593909

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9647842639593909

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9616336633663366

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9616336633663366

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.974375

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.974375

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9737851662404093

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9737851662404093

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9725

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9725

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9813144329896907

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9813144329896907

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823232323232324

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823232323232324

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9663705583756346

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9663705583756346

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9746875

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9746875

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9741131351869607

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9741131351869607

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9725

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9725

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9813264649066323

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9813264649066323

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823232323232324

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823232323232324

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9670050761421319

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9670050761421319

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:06.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9746875

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9746875

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9741131351869607

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9741131351869607

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9725343320848939

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9725343320848939

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9813264649066323

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9813264649066323

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9811083123425692

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9811083123425692

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9670050761421319

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9670050761421319

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9641089108910891

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9641089108910891

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.4.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.00011636529499580773),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.0004849164072910124),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.00011636529499580773),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.0004849164072910124),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.AutoML][base.py:950]: Started!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.AutoML][base.py:950]: Started!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97609375

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97609375

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.975625

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.975625

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9756175298804781

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9756175298804781

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9758513931888545

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9758513931888545

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9801472942683317

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9801472942683317

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.976456009913259

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.976456009913259

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9711294416243654

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9711294416243654

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9752475247524752

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9752475247524752

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:07.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97984375

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97984375

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9775

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9775

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9792571152918477

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9792571152918477

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9774153074027603

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9774153074027603

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928268666449299

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928268666449299

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9910941475826972

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9910941475826972

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9660532994923858

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9660532994923858

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9641089108910891

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9641089108910891

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98109375

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98109375

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9805684920507467

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9805684920507467

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9799749687108885

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9799749687108885

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928455284552845

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928455284552845

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911392405063291

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911392405063291

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97875

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97875

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812409812409814

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812409812409814

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9786967418546366

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9786967418546366

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9918962722852512

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9918962722852512

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911167512690355

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911167512690355

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9708121827411168

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9708121827411168

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:08.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98234375

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98234375

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9819228923372262

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9819228923372262

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.983198506533914

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.983198506533914

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903194578896418

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903194578896418

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9887359198998749

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9887359198998749

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9777227722772277

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9777227722772277

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9827089337175793

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9827089337175793

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806612601372426

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806612601372426

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9919198448610214

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9919198448610214

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886792452830189

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886792452830189

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9834375

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9834375

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9825

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9825

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9830345710627401

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9830345710627401

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9825653798256537

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9825653798256537

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9919250645994832

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9919250645994832

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9887218045112782

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9887218045112782

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9743020304568528

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9743020304568528

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:09.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9840625

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9840625

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9837320574162679

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9837320574162679

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9813432835820896

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9813432835820896

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9890955740859525

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9890955740859525

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98625

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98625

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9784263959390863

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9784263959390863

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98296875

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98296875

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9825404452987345

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9825404452987345

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922355224846328

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922355224846328

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9730329949238579

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9730329949238579

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98390625

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98390625

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.983533173461231

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.983533173461231

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:10.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9912987431517886

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9912987431517886

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9758883248730964

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9758883248730964

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.5.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    2.839938754044892e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.00020133611994332113),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    2.839938754044892e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.00020133611994332113),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.AutoML][base.py:950]: Started!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.AutoML][base.py:950]: Started!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97234375

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97234375

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.971875

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.971875

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9717568214456678

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9717568214456678

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9719975108898569

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9719975108898569

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9775280898876404

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9775280898876404

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9774718397997497

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9774718397997497

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9660532994923858

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9660532994923858

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97765625

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97765625

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.975625

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.975625

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9770428640231177

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9770428640231177

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9755485893416928

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9755485893416928

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.988950276243094

[2022-04-19_03:28:11.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.988950276243094

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98856416772554

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98856416772554

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9654187817258884

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9654187817258884

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97890625

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97890625

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9775

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9775

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9783688511456496

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9783688511456496

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9775

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9775

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9883457429588863

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9883457429588863

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9873737373737373

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9873737373737373

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9678217821782178

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9678217821782178

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97984375

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97984375

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97875

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97875

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.979323609552813

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.979323609552813

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9787234042553191

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9787234042553191

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9896339488176222

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9896339488176222

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9898734177215189

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9898734177215189

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9678217821782178

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9678217821782178

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:12.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98046875

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98046875

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9799711584681942

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9799711584681942

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9899643897701521

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9899643897701521

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9701776649746193

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9701776649746193

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9815625

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9815625

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9811079090617996

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9811079090617996

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806371018113679

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806371018113679

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903038138332256

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903038138332256

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899117276166457

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899117276166457

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9720812182741116

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9720812182741116

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812590100913021

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812590100913021

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.98

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.98

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9909414428987383

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9909414428987383

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98989898989899

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98989898989899

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717639593908629

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717639593908629

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:13.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9821875

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9821875

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9817658349328214

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9817658349328214

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.99

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.99

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9825

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9825

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9820800000000001

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9820800000000001

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9906391220142027

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9906391220142027

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9828125

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9828125

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9824112567956507

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9824112567956507

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903288201160542

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903288201160542

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9746192893401016

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9746192893401016

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:14.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.6.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.6.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.6.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.6.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.6.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.0005122118785449224),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    8.790400500424464e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.0005122118785449224),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    8.790400500424464e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.AutoML][base.py:950]: Started!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.AutoML][base.py:950]: Started!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9653125

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9653125

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9625

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9625

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9645933014354067

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9645933014354067

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9626400996264008

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9626400996264008

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9698524695317511

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9698524695317511

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.968671679197995

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.968671679197995

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9593908629441624

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9593908629441624

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9566831683168316

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9566831683168316

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9715625

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9715625

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.969375

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.969375

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9708239820455274

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9708239820455274

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9692404268675454

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9692404268675454

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9812054439403759

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9812054439403759

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9834394904458599

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9834394904458599

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9606598984771574

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9606598984771574

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9554455445544554

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9554455445544554

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:15.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97453125

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97453125

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9725

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9739158265322452

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9739158265322452

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9725

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9725

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9825637713916694

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9825637713916694

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823232323232324

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823232323232324

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9654187817258884

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9654187817258884

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9759375

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9759375

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.974375

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.974375

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.975383631713555

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.975383631713555

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9744229569557081

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9744229569557081

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9829252577319587

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9829252577319587

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823899371069182

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9823899371069182

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9679568527918782

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9679568527918782

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9775

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9775

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.974375

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.974375

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9769526248399487

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9769526248399487

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9743910056214866

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9743910056214866

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9857881136950905

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9857881136950905

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9836065573770492

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9836065573770492

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9682741116751269

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9682741116751269

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:16.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9784375

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9784375

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9775

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9775

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.97790585975024

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.97790585975024

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9775280898876404

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9775280898876404

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9870717517776342

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9870717517776342

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9861460957178841

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9861460957178841

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9689086294416244

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9689086294416244

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97875

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97875

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9775

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9775

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9782260646813962

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9782260646813962

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9775280898876404

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9775280898876404

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9873949579831933

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9873949579831933

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9861460957178841

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9861460957178841

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9796875

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9796875

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9791800128122998

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9791800128122998

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:17.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9886804657179818

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9886804657179818

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9698604060913706

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9698604060913706

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9795003203074952

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9795003203074952

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9890038809831824

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9890038809831824

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9701776649746193

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9701776649746193

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9803125

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9803125

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9798335467349552

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9798335467349552

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9800498753117207

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9800498753117207

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9886950904392765

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9886950904392765

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874371859296482

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874371859296482

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9711294416243654

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9711294416243654

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.7.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:18.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    7.238234126812833e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.0007117806371691655),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l2')])

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    7.238234126812833e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.0007117806371691655),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l2')])

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.AutoML][base.py:950]: Started!

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.AutoML][base.py:950]: Started!

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97796875

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97796875

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.976875

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.976875

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9775227164036346

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9775227164036346

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9770328988206083

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9770328988206083

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9823774431272028

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9823774431272028

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9800747198007472

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9800747198007472

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9727157360406091

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9727157360406091

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98046875

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98046875

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9799132251325726

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9799132251325726

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9780564263322884

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9780564263322884

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928362097036796

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928362097036796

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911054637865311

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911054637865311

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9673223350253807

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9673223350253807

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9653465346534653

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:19.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98109375

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98109375

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9805684920507467

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9805684920507467

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.979310344827586

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.979310344827586

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928455284552845

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9928455284552845

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9923761118170267

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9923761118170267

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9685913705583756

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9665841584158416

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9821875

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9821875

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.980625

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9817307692307692

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9817307692307692

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806128830519075

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9806128830519075

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9919041450777202

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9919041450777202

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911504424778761

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9911504424778761

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717639593908629

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717639593908629

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9827310521266389

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9827310521266389

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.983198506533914

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.983198506533914

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9906511927788524

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9906511927788524

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9887359198998749

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9887359198998749

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9749365482233503

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9749365482233503

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9777227722772277

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9777227722772277

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:20.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9828125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9828125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9823774431272029

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9823774431272029

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812734082397004

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922330097087378

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9922330097087378

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899244332493703

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9727157360406091

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9727157360406091

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98328125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98328125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9828936850519584

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9828936850519584

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9832193909260409

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9832193909260409

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9906542056074766

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9906542056074766

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9875156054931336

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9875156054931336

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.975253807106599

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.975253807106599

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9789603960396039

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9789603960396039

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98484375

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98484375

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9845270378050727

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9845270378050727

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9813432835820896

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9813432835820896

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9900545396214309

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9900545396214309

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98625

[2022-04-19_03:28:21.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.98625

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9790609137055838

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9790609137055838

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9834375

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9834375

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9825

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.9825

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9830237027546445

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9830237027546445

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9824999999999999

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9824999999999999

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9925614489003881

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9925614489003881

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9924242424242424

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9924242424242424

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9736675126903553

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98546875

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98546875

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.983125

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9851508861567939

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9851508861567939

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.983177570093458

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.983177570093458

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9916425586628094

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9916425586628094

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899623588456713

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9899623588456713

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.978743654822335

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.978743654822335

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9764851485148515

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.8.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:22.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    7.238234126812833e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.00014462006247378288),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l2')])

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    7.238234126812833e-05),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.00014462006247378288),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l2')])

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.AutoML][base.py:950]: Started!

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.AutoML][base.py:950]: Started!

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Started!

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.96953125

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.96953125

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.969375

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.969375

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9688846337960747

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9688846337960747

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9694704049844236

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9694704049844236

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9746388443017656

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9746388443017656

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9761606022584692

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9761606022584692

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9631979695431472

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9631979695431472

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9765625

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9765625

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97375

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97375

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9759384023099135

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9759384023099135

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.973651191969887

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.973651191969887

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9870214146658014

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9870214146658014

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9872773536895675

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9872773536895675

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9651015228426396

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9651015228426396

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9603960396039604

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9603960396039604

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:23.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9778125

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9778125

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97375

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.97375

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9772508811278436

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9772508811278436

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9737171464330412

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9737171464330412

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9870550161812298

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9870550161812298

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9848101265822785

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9848101265822785

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9676395939086294

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9676395939086294

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9628712871287128

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97890625

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97890625

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9783827061649321

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9783827061649321

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9781659388646289

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9781659388646289

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9877141933397996

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9877141933397996

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9861635220125786

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9861635220125786

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9702970297029703

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97921875

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97921875

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.978125

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9786961396764376

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9786961396764376

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9781386633354153

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9781386633354153

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9883532837269492

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9883532837269492

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.987389659520807

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.987389659520807

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9692258883248731

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.969059405940594

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:24.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97984375

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97984375

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9793368572801537

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9793368572801537

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9890003235198964

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9890003235198964

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9698604060913706

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9698604060913706

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98109375

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98109375

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9806244995996797

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9806244995996797

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9800249687890136

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9800249687890136

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9899773682508891

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9899773682508891

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886649874055415

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886649874055415

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9714467005076142

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9714467005076142

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98125

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98125

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.980806142034549

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.980806142034549

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9800498753117207

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9800498753117207

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9890322580645161

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9890322580645161

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874371859296482

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874371859296482

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9727157360406091

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9727157360406091

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9727722772277227

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:25.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98171875

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.98125

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812650120096077

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9812650120096077

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9812967581047383

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9906239896540575

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9906239896540575

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9886934673366834

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9720812182741116

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9720812182741116

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.974009900990099

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98203125

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98203125

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.accuracy.AutoML][base.py:950]: Valid Metric `accuracy`: 0.979375

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9815970555288847

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9815970555288847

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.f1.AutoML][base.py:950]: Valid Metric `f1`: 0.9794135995009359

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903132063287052

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9903132063287052

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.precision.AutoML][base.py:950]: Valid Metric `precision`: 0.9874213836477987

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9730329949238579

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9730329949238579

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.recall.AutoML][base.py:950]: Valid Metric `recall`: 0.9715346534653465

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.0.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.9.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:26.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Planned!

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.00020133611994332113),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.00020133611994332113),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'elasticnet')])

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Status: TrialStatus.PLANNED

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Started!

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Started!

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Status: TrialStatus.RUNNING

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 1/10.

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97925

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.97925

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9790245135203437

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9790245135203437

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9797673242286292

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9797673242286292

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9782828282828283

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9782828282828283

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:27.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 2/10.

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.980875

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.980875

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9804072224356511

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9804072224356511

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9945440374123149

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9945440374123149

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9666666666666667

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9666666666666667

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 3/10.

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.982375

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.982375

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9820084215898941

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9820084215898941

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9925199896827444

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9925199896827444

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717171717171718

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717171717171718

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:28.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 4/10.

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.983125

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9828003567333419

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9828003567333419

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9917716636667524

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9917716636667524

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.973989898989899

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.973989898989899

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 5/10.

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9825

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.9825

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9821337417049515

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9821337417049515

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9927760577915377

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9927760577915377

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717171717171718

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9717171717171718

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:29.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 6/10.

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98425

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98425

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9838957055214723

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9838957055214723

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9961180124223602

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9961180124223602

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9719696969696969

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9719696969696969

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 7/10.

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985125

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985125

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9848619768477294

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9848619768477294

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9923096641886696

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9923096641886696

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9775252525252526

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9775252525252526

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:30.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 8/10.

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985375

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985375

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9851729818780889

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9851729818780889

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9888069193589417

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9888069193589417

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9815656565656565

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9815656565656565

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 9/10.

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985625

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.985625

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9853447177265197

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9853447177265197

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9945973758682789

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9945973758682789

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9762626262626263

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9762626262626263

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:31.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Epoch 10/10.

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98625

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.accuracy.AutoML][base.py:950]: Train Metric `accuracy`: 0.98625

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9860015271061338

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.f1.AutoML][base.py:950]: Train Metric `f1`: 0.9860015271061338

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9938429964084146

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.precision.AutoML][base.py:950]: Train Metric `precision`: 0.9938429964084146

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9782828282828283

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.recall.AutoML][base.py:950]: Train Metric `recall`: 0.9782828282828283

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.-1.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Finished!

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.1.AutoML][base.py:950]: Status: TrialStatus.SUCCESS

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Finished round hp search!

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Best hyperparameters found for metric 'accuracy':

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

[2022-04-19_03:28:32.%f][INFO    ][neuraxle.default_project.default_client.0.AutoML][base.py:950]: Hyperparameters: OrderedDict([   (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__alpha',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__eta0',
                    0.001),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__learning_rate',
                    'constant'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__loss',
                    'hinge'),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__max_iter',
                    1),
                (   'MiniBatchSequentialPipeline__SKLearnWrapper_SGDClassifier__penalty',
                    'l1')])

Get best model and measure test accuracy

y_pred = auto_ml.predict(X_test)

accuracy = accuracy_score(y_true=y_test, y_pred=y_pred)
print("Test accuracy score:", accuracy)

Test accuracy score: 0.9775

Additional note : model selection as an hyperparameter

It is possible to consider the choice of a model as a hyperparameter of its own and define an AutoML pipeline with this in mind. Consider multiple sklearn classifiers that each have their own hyperparms:

classifiers: List[BaseTransformer] = [
    SKLearnWrapper(DecisionTreeClassifier(), HyperparameterSpace({
            'criterion': Choice(['gini', 'entropy']),
            'splitter': Choice(['best', 'random']),
            'min_samples_leaf': RandInt(2, 5),
            'min_samples_split': RandInt(2, 4)
        })).set_name('DecisionTreeClassifier'),
    Pipeline([
            OutputTransformerWrapper(NumpyRavel()),
            SKLearnWrapper(RidgeClassifier(), HyperparameterSpace({
                'alpha': Choice([(0.0, 1.0, 10.0), (0.0, 10.0, 100.0)]),
                'fit_intercept': Boolean(),
                'normalize': Boolean()
    }))
    ]).set_name('RidgeClassifier'),
    Pipeline([
        OutputTransformerWrapper(NumpyRavel()),
        SKLearnWrapper(LogisticRegression(), HyperparameterSpace({
            'C': LogUniform(0.01, 10.0),
            'fit_intercept': Boolean(),
            'dual': Boolean(),
            'penalty': Choice(['l1', 'l2']),
            'max_iter': RandInt(20, 200)
        }))
    ]).set_name('LogisticRegression')
]

To have an hyperparameter which decides which model to use, we recommend usage of the ChooseOneStepOf abstraction.

from neuraxle.steps.flow import ChooseOneStepOf

p: Pipeline = Pipeline([
    ChooseOneStepOf(classifiers)
])

If provided to an AutoML loop, a classifier will be sampled at beginning of every trial.