Run
1321

Run 1321

Task 1714 (Learning Curve) breast-w Uploaded 17-04-2014 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
0.908 ± 0.0312
Per class
F measure
0.9261 ± 0.0236
Per class
Kappa
0.8348 ± 0.0534
KB relative information score
0.8316 ± 0.0524
Mean absolute error
0.073 ± 0.0227
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.9275 ± 0.0216
Per class
Predictive accuracy
0.927 ± 0.0227
Prior entropy
0.9293 ± 0.0043
Recall
0.927 ± 0.0227
Per class
Relative absolute error
0.1614 ± 0.0503
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2701 ± 0.0467
Root relative squared error
0.5683 ± 0.0981
SciMark benchmark
1142.1385