Run
717

Run 717

Task 64 (Learning Curve) labor 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
0.8172 ± 0.2107
Per class
F measure
0.8431 ± 0.1424
Per class
Kappa
0.6515 ± 0.3587
KB relative information score
0.5622 ± 0.2702
Mean absolute error
0.2027 ± 0.1131
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8439 ± 0.136
Per class
Predictive accuracy
0.8456 ± 0.1408
Prior entropy
0.9349 ± 0.0618
Recall
0.8456 ± 0.1408
Per class
Relative absolute error
0.4436 ± 0.2516
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.3782 ± 0.1683
Root relative squared error
0.7925 ± 0.3579
SciMark benchmark
760.947