Run
9951665

Run 9951665

Task 9950 (Supervised Classification) micro-mass Uploaded 08-01-2019 by Scikit-learn Bot
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.pr eprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.St andardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.imput e.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder )),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceT hreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.Grad ientBoostingClassifier)(3)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(3)_memorynull
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(3)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(3)_remainder"passthrough"
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(3)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(3)_transformer_weightsnull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(3)_memorynull
sklearn.preprocessing.imputation.Imputer(34)_axis0
sklearn.preprocessing.imputation.Imputer(34)_copytrue
sklearn.preprocessing.imputation.Imputer(34)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(34)_strategy"median"
sklearn.preprocessing.imputation.Imputer(34)_verbose0
sklearn.preprocessing.data.StandardScaler(20)_copytrue
sklearn.preprocessing.data.StandardScaler(20)_with_meantrue
sklearn.preprocessing.data.StandardScaler(20)_with_stdtrue
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)(3)_memorynull
sklearn.impute.SimpleImputer(6)_copytrue
sklearn.impute.SimpleImputer(6)_fill_value-1
sklearn.impute.SimpleImputer(6)_missing_valuesNaN
sklearn.impute.SimpleImputer(6)_strategy"constant"
sklearn.impute.SimpleImputer(6)_verbose0
sklearn.preprocessing._encoders.OneHotEncoder(6)_categorical_featuresnull
sklearn.preprocessing._encoders.OneHotEncoder(6)_categoriesnull
sklearn.preprocessing._encoders.OneHotEncoder(6)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(6)_handle_unknown"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(6)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(6)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(21)_threshold0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_criterion"mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_learning_rate1.3611738501353945
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_max_depth9
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_max_features0.37133276460327924
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_impurity_decrease0.9033053654619672
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_samples_leaf11
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_samples_split7
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_min_weight_fraction_leaf0.37474508179087457
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_n_estimators177
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_n_iter_no_change557
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_random_state54713
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_subsample0.464046315246342
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_tol4.7229211493843426e-05
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_validation_fraction0.00478270094659361
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(16)_warm_startfalse

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.

15 Evaluation measures

Area under ROC curve
0.5015
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0016
KB relative information score
14.6482 ± 1.0442
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0956 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0941 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
571
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0438 ± 0.0219
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.208
Cross-validation details (10-fold Crossvalidation)
Recall
0.0438 ± 0.0219
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.016 ± 0.0237
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2169 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3092 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4257 ± 0.017
Cross-validation details (10-fold Crossvalidation)