Run
555362

Run 555362

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Jeroen Noten
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  • NumPy_1.11.0. Python_3.5.1. run_task SciPy_0.17.0. sklearn.ensemble.forest.ExtraTreesClassifier Sklearn_0.18.dev0. Thu_Apr_14_14.02.57_2016
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Flow

sklearn.ensemble.forest.ExtraTreesClassifier(1)Flow generated by run_task
sklearn.ensemble.forest.ExtraTreesClassifier(1)_warm_startTrue
sklearn.ensemble.forest.ExtraTreesClassifier(1)_oob_scoreFalse
sklearn.ensemble.forest.ExtraTreesClassifier(1)_n_jobs1
sklearn.ensemble.forest.ExtraTreesClassifier(1)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(1)_max_leaf_nodesNone
sklearn.ensemble.forest.ExtraTreesClassifier(1)_bootstrapFalse
sklearn.ensemble.forest.ExtraTreesClassifier(1)_min_samples_leaf1
sklearn.ensemble.forest.ExtraTreesClassifier(1)_n_estimators1025
sklearn.ensemble.forest.ExtraTreesClassifier(1)_min_samples_split15
sklearn.ensemble.forest.ExtraTreesClassifier(1)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(1)_criterionentropy
sklearn.ensemble.forest.ExtraTreesClassifier(1)_random_stateNone
sklearn.ensemble.forest.ExtraTreesClassifier(1)_max_featuresauto
sklearn.ensemble.forest.ExtraTreesClassifier(1)_max_depthNone
sklearn.ensemble.forest.ExtraTreesClassifier(1)_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
0.9993
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9868
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9732
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10194.593
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1883
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
0.9869
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9868
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9868
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3806
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2207
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4436
Cross-validation details (10-fold Crossvalidation)