Run
260347

Run 260347

Task 3594 (Supervised Classification) analcatdata_supreme Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

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
0.9881
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9921
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9782
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3921.5427
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.012
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3645
Cross-validation details (10-fold Crossvalidation)
Number of instances
4052
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9921
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9921
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7946
Cross-validation details (10-fold Crossvalidation)
Recall
0.9921
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.033
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0852
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1996
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
896.937
UserCPU time millis
80
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)