Run
2088124

Run 2088124

Task 3917 (Supervised Classification) kc1 Uploaded 28-04-2017 by Jeroen van Hoof
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Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,randomforestcla ssifier=sklearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depth12
sklearn.ensemble.forest.RandomForestClassifier(16)_max_features0.3
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf2
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split5
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators512
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_state3
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_warm_startFalse
sklearn.decomposition.pca.PCA(1)_copyTrue
sklearn.decomposition.pca.PCA(1)_iterated_powerauto
sklearn.decomposition.pca.PCA(1)_n_componentsNone
sklearn.decomposition.pca.PCA(1)_random_stateNone
sklearn.decomposition.pca.PCA(1)_svd_solverauto
sklearn.decomposition.pca.PCA(1)_tol0.0
sklearn.decomposition.pca.PCA(1)_whitenFalse
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)_steps[('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, svd_solver='auto', tol=0.0, whiten=False)), ('randomforestclassifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini', max_depth=12, max_features=0.3, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=5, min_weight_fraction_leaf=0.0, n_estimators=512, n_jobs=-1, oob_score=False, random_state=3, verbose=0, warm_start=False))]

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

0.844
Per class
Cross-validation details (10-fold Crossvalidation)
0.8517
Per class
Cross-validation details (10-fold Crossvalidation)
0.3729
Cross-validation details (10-fold Crossvalidation)
241.4694
Cross-validation details (10-fold Crossvalidation)
0.1944
Cross-validation details (10-fold Crossvalidation)
0.2616
Cross-validation details (10-fold Crossvalidation)
2109
Per class
Cross-validation details (10-fold Crossvalidation)
0.8561
Per class
Cross-validation details (10-fold Crossvalidation)
0.8725
Cross-validation details (10-fold Crossvalidation)
0.622
Cross-validation details (10-fold Crossvalidation)
0.8725
Per class
Cross-validation details (10-fold Crossvalidation)
0.7432
Cross-validation details (10-fold Crossvalidation)
0.3615
Cross-validation details (10-fold Crossvalidation)
0.3118
Cross-validation details (10-fold Crossvalidation)
0.8625
Cross-validation details (10-fold Crossvalidation)