Run
563176

Run 563176

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 18-04-2016 by Pattarawat Chormai
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  • Mon_Apr_18_12.59.32_2016 NumPy_1.10.0.post2. Python_2.7.9. 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)_verbose0
sklearn.ensemble.bagging.BaggingClassifier(1)_random_stateNone
sklearn.ensemble.bagging.BaggingClassifier(1)_bootstrapTrue
sklearn.ensemble.bagging.BaggingClassifier(1)_base_estimatorNone
sklearn.ensemble.bagging.BaggingClassifier(1)_n_estimators100
sklearn.ensemble.bagging.BaggingClassifier(1)_n_jobs1
sklearn.ensemble.bagging.BaggingClassifier(1)_oob_scoreFalse
sklearn.ensemble.bagging.BaggingClassifier(1)_max_features1.0
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
0.9797
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9288
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8559
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10020.2213
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1831
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
0.9293
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.929
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.929
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3701
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2562
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.515
Cross-validation details (10-fold Crossvalidation)