OpenML
1673143

Run 1673143

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 21-07-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_J48(1)Weka implementation of AttributeSelectedClassifier
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AttributeSelectedClassifier_J48(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_J48(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_J48(1)_Wweka.classifiers.trees.J48

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
0.8127
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7498
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4931
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5868.5616
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3114
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
0.7503
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7509
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7509
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6293
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4206
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8457
Cross-validation details (10-fold Crossvalidation)