Run
260242

Run 260242

Task 2382 (Supervised Classification) wine Uploaded 05-03-2015 by Joaquin Vanschoren
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weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(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.

22 Evaluation measures

Area under ROC curve
0.958
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9383
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.906
Cross-validation details (10-fold Crossvalidation)
KB relative information score
160.5565
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0499
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.439
Cross-validation details (10-fold Crossvalidation)
Number of instances
178
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9392
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9382
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9382
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1137
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2009
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4289
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1301.2156
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)