Run
568944

Run 568944

Task 9952 (Supervised Classification) phoneme 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
0.8295
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8502
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6357
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2688.6179
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2148
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
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
0.8494
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8516
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8516
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.518
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3501
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7688
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1191.8914
UserCPU time millis
1060
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1050
Cross-validation details (10-fold Crossvalidation)