OpenML
555368

Run 555368

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.weight_boosting.AdaBoostClassifier Sklearn_0.18.dev0. Thu_Apr_14_14.18.00_2016
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Flow

sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)Flow generated by run_task
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_n_estimators50
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_algorithmSAMME.R
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_base_estimatorNone
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_random_stateNone

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
0.8171
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.741
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4753
Cross-validation details (10-fold Crossvalidation)
KB relative information score
37.1868
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4934
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
0.7415
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7422
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7422
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9972
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4938
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9929
Cross-validation details (10-fold Crossvalidation)