Run
568930

Run 568930

Task 9903 (Supervised Classification) autoUniv-au7-500 Uploaded 28-04-2016 by Jan van Rijn
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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
0.6241
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4104
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2242
Cross-validation details (10-fold Crossvalidation)
KB relative information score
87.9402
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2634
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.4489
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.49
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.49
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8792
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3683
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9518
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1260.952
UserCPU time millis
70
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)