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10029347

Run 10029347

Task 14967 (Supervised Classification) cjs Uploaded 18-01-2019 by Scikit-learn Bot
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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,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassif ier)(2)Automatically created scikit-learn flow.
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"most_frequent"
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.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,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_memorynull
sklearn.ensemble.forest.RandomForestClassifier(48)_bootstrapfalse
sklearn.ensemble.forest.RandomForestClassifier(48)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(48)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(48)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(48)_max_features0.03413235384577229
sklearn.ensemble.forest.RandomForestClassifier(48)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(48)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(48)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(48)_min_samples_leaf6
sklearn.ensemble.forest.RandomForestClassifier(48)_min_samples_split11
sklearn.ensemble.forest.RandomForestClassifier(48)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(48)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(48)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(48)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(48)_random_state11354
sklearn.ensemble.forest.RandomForestClassifier(48)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(48)_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.

17 Evaluation measures

0.9933 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.97750.980.98250.9850.98750.990.99250.9950.997511.…1.0025
0.9654 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.9350.940.9450.950.9550.960.9650.970.9750.980.…0.985
0.9576 ± 0.0161
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.920.9250.930.9350.940.9450.950.9550.960.9650.970.9750.980.…0.985
1576.1494 ± 3.0268
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore0152153154155156157158159160161162163
0.1728 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.1680.1690.170.1710.1720.1730.1740.1750.1760.1770.1780.…0.179
0.2729 ± 0
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.272790.27280.272810.272820.272830.272840.272850.272860.272870.272880.272890.27290.27291
2796
Per class
Cross-validation details (10-fold Crossvalidation)
0.9662 ± 0.0117
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.940.9450.950.9550.960.9650.970.9750.980.9…0.985
0.9653 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.9350.940.9450.950.9550.960.9650.970.9750.980.…0.985
2.5207
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore02.5207
0.9653 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.9350.940.9450.950.9550.960.9650.970.9750.980.…0.985
0.6334 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.6150.620.6250.630.6350.640.6450.650.655
0.3694 ± 0
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.369290.36930.369310.369320.369330.369340.369350.369360.369370.369380.369390.36940.36941
0.2419 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.2360.2370.2380.2390.240.2410.2420.2430.2440.2450.2460.2470.2480.…0.249
0.655 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.6350.640.6450.650.6550.660.6650.670.675
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