Run
1608008

Run 1608008

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(14)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I10
weka.AdaBoostM1_DecisionStump(14)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.7192
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6665
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3286
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2017.3771
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4395
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
0.6804
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6767
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6767
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8884
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4617
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9283
Cross-validation details (10-fold Crossvalidation)