Run
2088117

Run 2088117

Task 9983 (Supervised Classification) eeg-eye-state 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)_bootstrapFalse
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depthNone
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_leaf1
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split4
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=False, class_weight=None, criterion='gini', max_depth=None, max_features=0.3, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=1, min_samples_split=4, 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

0.9897
Per class
Cross-validation details (10-fold Crossvalidation)
0.9499
Per class
Cross-validation details (10-fold Crossvalidation)
0.8987
Cross-validation details (10-fold Crossvalidation)
10245.4631
Cross-validation details (10-fold Crossvalidation)
0.1785
Cross-validation details (10-fold Crossvalidation)
0.4948
Cross-validation details (10-fold Crossvalidation)
14980
Per class
Cross-validation details (10-fold Crossvalidation)
0.9501
Per class
Cross-validation details (10-fold Crossvalidation)
0.95
Cross-validation details (10-fold Crossvalidation)
0.9924
Cross-validation details (10-fold Crossvalidation)
0.95
Per class
Cross-validation details (10-fold Crossvalidation)
0.3609
Cross-validation details (10-fold Crossvalidation)
0.4974
Cross-validation details (10-fold Crossvalidation)
0.2387
Cross-validation details (10-fold Crossvalidation)
0.4799
Cross-validation details (10-fold Crossvalidation)