Run
996

Run 996

Task 74 (Learning Curve) breast-w Uploaded 08-04-2014 by Jan van Rijn
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Flow

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
0.9025 ± 0.0357
Per class
F measure
0.9198 ± 0.0306
Per class
Kappa
0.8208 ± 0.068
KB relative information score
0.8167 ± 0.0696
Mean absolute error
0.0794 ± 0.0302
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
6990
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9205 ± 0.0288
Per class
Predictive accuracy
0.9206 ± 0.0302
Prior entropy
0.9293 ± 0.0041
Recall
0.9206 ± 0.0302
Per class
Relative absolute error
0.1757 ± 0.0667
Root mean prior squared error
0.4753 ± 0.0014
Root mean squared error
0.2818 ± 0.0558
Root relative squared error
0.5928 ± 0.1172
SciMark benchmark
891.7454