Run
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Run 728

Task 82 (Learning Curve) cmc Uploaded 08-04-2014 by Jan van Rijn
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Flow

weka.RandomTree(1)Weka implementation of RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.5969 ± 0.0313
Per class
F measure
0.4703 ± 0.039
Per class
Kappa
0.181 ± 0.0597
KB relative information score
0.2418 ± 0.0536
Mean absolute error
0.3544 ± 0.0254
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.4701 ± 0.0391
Per class
Predictive accuracy
0.4707 ± 0.039
Prior entropy
1.539 ± 0.0028
Recall
0.4707 ± 0.039
Per class
Relative absolute error
0.8226 ± 0.0589
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.5835 ± 0.0214
Root relative squared error
1.2573 ± 0.046
SciMark benchmark
840.2191