Run
545898

Run 545898

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 02-04-2016 by Pieter Gijsbers
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  • 04-02-16_13.25.11 NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.17.
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Flow

sklearn.ensemble.forest.RandomForestClassifier(8)Flow generated by openml_run
sklearn.ensemble.forest.RandomForestClassifier(8)_warm_startFalse
sklearn.ensemble.forest.RandomForestClassifier(8)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(8)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(8)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(8)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(8)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(8)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(8)_n_estimators20
sklearn.ensemble.forest.RandomForestClassifier(8)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(8)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(8)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(8)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(8)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(8)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(8)_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
0.9761
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9187
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8353
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9473.1823
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2023
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
0.9202
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.919
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.919
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4089
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2713
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5455
Cross-validation details (10-fold Crossvalidation)