Run
555328

Run 555328

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Akash Singh
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  • NumPy_1.10.4. Python_3.5.1. run_task SciPy_0.17.0. sklearn.ensemble.weight_boosting.AdaBoostClassifier Sklearn_0.18.dev0. Thu_Apr_14_00.57.42_2016
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Flow

sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)Flow generated by run_task
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_n_estimators5000
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_algorithmSAMME
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
0.8065
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7297
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4524
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-189.3933
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4988
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
0.7324
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7324
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7324
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0082
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4988
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.003
Cross-validation details (10-fold Crossvalidation)