Run
1664256

Run 1664256

Task 9971 (Supervised Classification) ilpd Uploaded 19-07-2016 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.AdaBoostM1_JRip(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_S1
weka.AdaBoostM1_JRip(3)_P100
weka.AdaBoostM1_JRip(3)_S1
weka.AdaBoostM1_JRip(3)_I10
weka.AdaBoostM1_JRip(3)_Wweka.classifiers.rules.JRip

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
0.6984
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6822
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2079
Cross-validation details (10-fold Crossvalidation)
KB relative information score
70.9997
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3366
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4091
Cross-validation details (10-fold Crossvalidation)
Number of instances
583
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6771
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6895
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.6895
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8228
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4644
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0271
Cross-validation details (10-fold Crossvalidation)