Run
6069536

Run 6069536

Task 37 (Supervised Classification) diabetes Uploaded 11-08-2017 by Miguel Cachada
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Flow

weka.JRip(7)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(7)_F3
weka.JRip(7)_N2.0
weka.JRip(7)_O2
weka.JRip(7)_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
0.7269
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7465
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4345
Cross-validation details (10-fold Crossvalidation)
KB relative information score
201.2167
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3459
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7455
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7513
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7513
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7612
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.43
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9022
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1396.9117
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)