Run
9203638

Run 9203638

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_features0.8432247340011486
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_leaf9
sklearn.ensemble.forest.RandomForestClassifier(35)_min_samples_split13
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_state39146
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"mean"
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

0.7612 ± 0.0409
Per class
Cross-validation details (10-fold Crossvalidation)
0.7309 ± 0.0411
Per class
Cross-validation details (10-fold Crossvalidation)
0.3434 ± 0.1045
Cross-validation details (10-fold Crossvalidation)
198.5612 ± 5.0238
Cross-validation details (10-fold Crossvalidation)
0.3252 ± 0.0172
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.7276 ± 0.0446
Per class
Cross-validation details (10-fold Crossvalidation)
0.74 ± 0.0383
Cross-validation details (10-fold Crossvalidation)
0.8818
Cross-validation details (10-fold Crossvalidation)
0.74 ± 0.0383
Per class
Cross-validation details (10-fold Crossvalidation)
0.7741 ± 0.0408
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.4193 ± 0.0164
Cross-validation details (10-fold Crossvalidation)
0.9149 ± 0.0358
Cross-validation details (10-fold Crossvalidation)