OpenML
1666034

Run 1666034

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.SimpleCart(4)Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
weka.SimpleCart(4)_M2.0
weka.SimpleCart(4)_N5
weka.SimpleCart(4)_C1.0
weka.SimpleCart(4)_S1

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
0.8697
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8443
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6849
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9469.9387
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1896
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
0.8443
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8445
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8445
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3833
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3699
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7437
Cross-validation details (10-fold Crossvalidation)