OpenML
1666400

Run 1666400

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 20-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_J48(5)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.Bagging_J48(5)_P100
weka.Bagging_J48(5)_S1
weka.Bagging_J48(5)_num-slots1
weka.Bagging_J48(5)_I10
weka.Bagging_J48(5)_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
0.9671
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8097
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9926.2415
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1816
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
0.9063
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9061
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9061
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.367
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2744
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5516
Cross-validation details (10-fold Crossvalidation)