Run
498

Run 498

Task 27 (Supervised Classification) colic Uploaded 07-04-2014 by Jan van Rijn
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weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8139
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8171
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6129
Cross-validation details (10-fold Crossvalidation)
KB relative information score
217.5752
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1848
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.822
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8152
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8152
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3964
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4299
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8906
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2014.0772