Run
555180

Run 555180

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 12-04-2016 by Dalei Li
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  • 04-12-16_20.53.00 NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. sklearn.ensemble.bagging.BaggingClassifier Sklearn_0.17.1.
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Flow

sklearn.ensemble.bagging.BaggingClassifier(1)Flow generated by run_task
sklearn.ensemble.bagging.BaggingClassifier(1)_warm_startFalse
sklearn.ensemble.bagging.BaggingClassifier(1)_max_samples1.0
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__min_samples_split2
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__max_depthNone
sklearn.ensemble.bagging.BaggingClassifier(1)_verbose0
sklearn.ensemble.bagging.BaggingClassifier(1)_random_stateNone
sklearn.ensemble.bagging.BaggingClassifier(1)_bootstrapTrue
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimatorExtraTreeClassifier(class_weight=None, criterion='gini', max_depth=None, max_features='auto', max_leaf_nodes=None, min_samples_leaf=1, min_samples_split=2, min_weight_fraction_leaf=0.0, random_state=None, splitter='random')
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__criteriongini
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__max_featuresauto
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__random_stateNone
sklearn.ensemble.bagging.BaggingClassifier(1)_n_estimators20
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__min_weight_fraction_leaf0.0
sklearn.ensemble.bagging.BaggingClassifier(1)_n_jobs1
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__class_weightNone
sklearn.ensemble.bagging.BaggingClassifier(1)_oob_scoreFalse
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__splitterrandom
sklearn.ensemble.bagging.BaggingClassifier(1)_max_features1.0
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__max_leaf_nodesNone
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimator__min_samples_leaf1
sklearn.ensemble.bagging.BaggingClassifier(1)_bootstrap_featuresFalse

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9765
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9166
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.831
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8761.1067
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2293
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9191
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9171
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9171
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4635
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2854
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5737
Cross-validation details (10-fold Crossvalidation)