Run
549716

Run 549716

Task 3873 (Supervised Classification) dermatology Uploaded 08-04-2016 by Jan van Rijn
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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
0.9887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9836
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9616
Cross-validation details (10-fold Crossvalidation)
KB relative information score
347.4619
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0212
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9838
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9836
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9836
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.05
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.126
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2735
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
837.7854
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)