Run
1764

Run 1764

Task 66 (Learning Curve) audiology Uploaded 23-04-2014 by Jan van Rijn
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Flow

weka.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.9231 ± 0.0351
Per class
Kappa
0.7403 ± 0.0898
KB relative information score
0.7396 ± 0.0785
Mean absolute error
0.0224 ± 0.0053
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, 2.6.32-431.1.2.el6.x86_64 ]
Predictive accuracy
0.777 ± 0.0784
Prior entropy
3.4373 ± 0.1528
Recall
0.777 ± 0.0784
Per class
Relative absolute error
0.3093 ± 0.072
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1219 ± 0.0208
Root relative squared error
0.6438 ± 0.1093
SciMark benchmark
893.277