Run
549663

Run 549663

Task 3808 (Supervised Classification) kidney Uploaded 08-04-2016 by Jan van Rijn
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  • study_15 study_20 weka weka_3.7.13
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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
0.7497
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6971
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3922
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26.3126
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3323
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4987
Cross-validation details (10-fold Crossvalidation)
Number of instances
76
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
0.6971
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6974
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9981
Cross-validation details (10-fold Crossvalidation)
Recall
0.6974
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6664
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4993
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4796
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9605
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1011.7942
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)