Run
553619

Run 553619

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 10-04-2016 by Tho Le
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  • NumPy_1.11.0. Python_2.7.11. run_task SciPy_0.16.1. sklearn.ensemble.gradient_boosting.GradientBoostingClassifier Sklearn_0.17. Sun_Apr_10_08.12.24_2016
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Flow

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)Flow generated by run_task
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_presortauto
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_lossdeviance
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_max_leaf_nodesNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_learning_rate0.001
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_warm_startFalse
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_min_samples_leaf1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_n_estimators2000
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_min_samples_split2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_initNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_random_stateNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_max_featuresNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(1)_max_depth3

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
0.8284
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7493
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4944
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3051.7596
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4121
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
0.7652
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7559
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7559
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8329
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4311
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8668
Cross-validation details (10-fold Crossvalidation)