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:

[10]:
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.

[12]:
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.

[14]:
from neuraxle.metaopt.data.vanilla 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.

[20]:
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:

[22]:
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

[23]:
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

[24]:
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:

[25]:
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.

[26]:
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.