Run
9203459

Run 9203459

Task 31 (Supervised Classification) credit-g Uploaded 08-06-2018 by Jeroen van Hoof
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Flow

sklearn.pipeline.Pipeline(conditionalimputer=arbok.preprocessing.Conditiona lImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,variancethr eshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,rando mforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(35)_bootstrapfalse
sklearn.ensemble.forest.RandomForestClassifier(35)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(35)_criterion"entropy"
sklearn.ensemble.forest.RandomForestClassifier(35)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(35)_max_features0.7986290181945356
sklearn.ensemble.forest.RandomForestClassifier(35)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(35)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(35)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(35)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(35)_min_samples_split20
sklearn.ensemble.forest.RandomForestClassifier(35)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(35)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(35)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(35)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(35)_random_state15366
sklearn.ensemble.forest.RandomForestClassifier(35)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(35)_warm_startfalse
sklearn.preprocessing.data.OneHotEncoder(21)_categorical_features[0, 2, 3, 5, 6, 8, 9, 11, 13, 14, 16, 18, 19]
sklearn.preprocessing.data.OneHotEncoder(21)_dtypenull
sklearn.preprocessing.data.OneHotEncoder(21)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(21)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(21)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(14)_threshold0.0
sklearn.pipeline.Pipeline(conditionalimputer=arbok.preprocessing.ConditionalImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull
arbok.preprocessing.ConditionalImputer(9)_axis0
arbok.preprocessing.ConditionalImputer(9)_categorical_features[0, 2, 3, 5, 6, 8, 9, 11, 13, 14, 16, 18, 19]
arbok.preprocessing.ConditionalImputer(9)_copytrue
arbok.preprocessing.ConditionalImputer(9)_fill_empty0
arbok.preprocessing.ConditionalImputer(9)_missing_values"NaN"
arbok.preprocessing.ConditionalImputer(9)_strategy"most_frequent"
arbok.preprocessing.ConditionalImputer(9)_strategy_nominal"most_frequent"
arbok.preprocessing.ConditionalImputer(9)_verbose0

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

0.7588 ± 0.0418
Per class
Cross-validation details (10-fold Crossvalidation)
0.728 ± 0.0407
Per class
Cross-validation details (10-fold Crossvalidation)
0.3365 ± 0.1054
Cross-validation details (10-fold Crossvalidation)
200.9715 ± 5.8426
Cross-validation details (10-fold Crossvalidation)
0.3248 ± 0.0193
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.7245 ± 0.0429
Per class
Cross-validation details (10-fold Crossvalidation)
0.737 ± 0.0359
Cross-validation details (10-fold Crossvalidation)
0.8818
Cross-validation details (10-fold Crossvalidation)
0.737 ± 0.0359
Per class
Cross-validation details (10-fold Crossvalidation)
0.7731 ± 0.0458
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.4219 ± 0.0191
Cross-validation details (10-fold Crossvalidation)
0.9207 ± 0.0416
Cross-validation details (10-fold Crossvalidation)