Run
554371

Run 554371

Task 3910 (Supervised Classification) ar3 Uploaded 10-04-2016 by Martijn Post
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Flow

weka.JRip(5)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_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
0.6943
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4538
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.6311
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2303
Cross-validation details (10-fold Crossvalidation)
Number of instances
63
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.8943
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9048
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5802
Cross-validation details (10-fold Crossvalidation)
Recall
0.9048
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.583
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3332
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3027
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9085
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1834.908
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)