Run
103670

Run 103670

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.JRip(2)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_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.

21 Evaluation measures

Area under ROC curve
0.676
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0032
Cross-validation details (10-fold Crossvalidation)
Build memory
267967619.8068
Cross-validation details (10-fold Crossvalidation)
F measure
0.9775
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6935
Cross-validation details (10-fold Crossvalidation)
KB relative information score
294.4393
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0386
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9803
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9803
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4613
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.139
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6859
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.7068