Run
10593828

Run 10593828

Task 145684 (Supervised Classification) creditcard Uploaded 28-06-2023 by Luís Miguel Matos
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Flow

sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer .ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncode r,numeric=sklearn.preprocessing._data.StandardScaler),Classifier=sklearn.en semble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassi fier)(1)Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement `fit` and `transform` methods. The final estimator only needs to implement `fit`. The transformers in the pipeline can be cached using ``memory`` argument. The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. For this, it enables setting parameters of the various steps using their names and the parameter name separated by a `'__'`, as in the example below. A step's estimator may be replaced entirely by setting the parameter with its name to another estimator, or a transformer removed by setting it to `'passthrough'` or `None`.
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_categorical_featuresnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_class_weightnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_early_stopping"auto"
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_interaction_cstnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_l2_regularization0.983713986336001
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_learning_rate0.10312590566808312
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_loss"log_loss"
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_max_bins110
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_max_depthnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_max_iter372
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_max_leaf_nodes62
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_min_samples_leaf144
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_monotonic_cstnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_n_iter_no_change10
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_random_state41716
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_scoring"loss"
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_tol0.9807426042678741
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_validation_fraction0.1
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_verbose0
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(10)_warm_startfalse
sklearn.preprocessing._encoders.OneHotEncoder(43)_categories"auto"
sklearn.preprocessing._encoders.OneHotEncoder(43)_dropnull
sklearn.preprocessing._encoders.OneHotEncoder(43)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(43)_handle_unknown"infrequent_if_exist"
sklearn.preprocessing._encoders.OneHotEncoder(43)_max_categoriesnull
sklearn.preprocessing._encoders.OneHotEncoder(43)_min_frequencynull
sklearn.preprocessing._encoders.OneHotEncoder(43)_sparsetrue
sklearn.preprocessing._encoders.OneHotEncoder(43)_sparse_outputtrue
sklearn.preprocessing._data.StandardScaler(15)_copytrue
sklearn.preprocessing._data.StandardScaler(15)_with_meantrue
sklearn.preprocessing._data.StandardScaler(15)_with_stdtrue
sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler),Classifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler),Classifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "Preprocessing", "step_name": "Preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "Classifier", "step_name": "Classifier"}}]
sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler),Classifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)_verbosefalse
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler)(1)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler)(1)_remainder"drop"
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler)(1)_transformer_weightsnull
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "categorical", "step_name": "categorical", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}]
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler)(1)_verbosefalse
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,numeric=sklearn.preprocessing._data.StandardScaler)(1)_verbose_feature_names_outtrue

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

0.9687 ± 0.0251
Per class
Cross-validation details (10-fold Crossvalidation)
0.9994 ± 0.0002
Per class
Cross-validation details (10-fold Crossvalidation)
0.8086 ± 0.0506
Cross-validation details (10-fold Crossvalidation)
-0.3086 ± 0.0908
Cross-validation details (10-fold Crossvalidation)
0.0016 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.0035 ± 0
Cross-validation details (10-fold Crossvalidation)
0.9994 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
284807
Per class
Cross-validation details (10-fold Crossvalidation)
0.9993 ± 0.0002
Per class
Cross-validation details (10-fold Crossvalidation)
0.9994 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.0183 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.4559 ± 0.0261
Cross-validation details (10-fold Crossvalidation)
0.0415 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.0238 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.5741 ± 0.0645
Cross-validation details (10-fold Crossvalidation)
0.8871 ± 0.0361
Cross-validation details (10-fold Crossvalidation)