Run
646

Run 646

Task 66 (Learning Curve) audiology Uploaded 07-04-2014 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.

17 Evaluation measures

Area under ROC curve
0.6549 ± 0.0094
Per class
Kappa
0.3059 ± 0.0177
KB relative information score
0.2863 ± 0.0235
Mean absolute error
0.0446 ± 0.0017
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Predictive accuracy
0.4646 ± 0.0203
Prior entropy
3.4373 ± 0.1528
Recall
0.4646 ± 0.0203
Per class
Relative absolute error
0.6163 ± 0.0206
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.2112 ± 0.004
Root relative squared error
1.1158 ± 0.0163
SciMark benchmark
858.2422