Run
557287

Run 557287

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 15-04-2016 by Duy Pham
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  • Fri_Apr_15_08.40.07_2016 NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. sklearn.ensemble.forest.ExtraTreesClassifier Sklearn_0.17.1.
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Flow

sklearn.ensemble.forest.ExtraTreesClassifier(3)Flow generated by run_task
sklearn.ensemble.forest.ExtraTreesClassifier(3)_warm_startTrue
sklearn.ensemble.forest.ExtraTreesClassifier(3)_oob_scoreFalse
sklearn.ensemble.forest.ExtraTreesClassifier(3)_n_jobs1
sklearn.ensemble.forest.ExtraTreesClassifier(3)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(3)_max_leaf_nodesNone
sklearn.ensemble.forest.ExtraTreesClassifier(3)_bootstrapFalse
sklearn.ensemble.forest.ExtraTreesClassifier(3)_min_samples_leaf1
sklearn.ensemble.forest.ExtraTreesClassifier(3)_n_estimators2048
sklearn.ensemble.forest.ExtraTreesClassifier(3)_min_samples_split2
sklearn.ensemble.forest.ExtraTreesClassifier(3)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(3)_criteriongini
sklearn.ensemble.forest.ExtraTreesClassifier(3)_random_stateNone
sklearn.ensemble.forest.ExtraTreesClassifier(3)_max_featuresauto
sklearn.ensemble.forest.ExtraTreesClassifier(3)_max_depth20000
sklearn.ensemble.forest.ExtraTreesClassifier(3)_class_weightNone

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
0.9999
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9954
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9907
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14439.3478
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0205
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
0.9954
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9954
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9954
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0415
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0797
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1602
Cross-validation details (10-fold Crossvalidation)