Run
557324

Run 557324

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 15-04-2016 by Tho Le
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  • Fri_Apr_15_11.48.00_2016 NumPy_1.11.0. Python_2.7.11. run_task SciPy_0.17.0. sklearn.ensemble.forest.ExtraTreesClassifier Sklearn_0.18.dev0.
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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_leaf5
sklearn.ensemble.forest.ExtraTreesClassifier(1)_n_estimators4096
sklearn.ensemble.forest.ExtraTreesClassifier(1)_min_samples_split3
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
0.994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3917
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
225.9394
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4896
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
0.3038
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5512
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5512
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9896
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4922
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9896
Cross-validation details (10-fold Crossvalidation)