Run
555291

Run 555291

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 13-04-2016 by Duy Pham
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  • NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.17.1. Wed_Apr_13_14.59.31_2016
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Flow

sklearn.ensemble.forest.RandomForestClassifier(10)Flow generated by openml_run
sklearn.ensemble.forest.RandomForestClassifier(10)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(10)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(10)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(10)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(10)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(10)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(10)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(10)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(10)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(10)_n_estimators128
sklearn.ensemble.forest.RandomForestClassifier(10)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(10)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(10)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(10)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(10)_warm_startFalse

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
0.9841
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9339
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8662
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9528.2482
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2034
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
0.9346
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9341
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9341
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2614
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5257
Cross-validation details (10-fold Crossvalidation)