Run
1319

Run 1319

Task 86 (Learning Curve) colic Uploaded 17-04-2014 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
0.8112 ± 0.0761
Per class
F measure
0.7768 ± 0.0649
Per class
Kappa
0.5198 ± 0.1384
KB relative information score
0.4336 ± 0.1221
Mean absolute error
0.2649 ± 0.0545
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7764 ± 0.065
Per class
Predictive accuracy
0.7774 ± 0.0637
Prior entropy
0.9503 ± 0.0087
Recall
0.7774 ± 0.0637
Per class
Relative absolute error
0.5682 ± 0.1166
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.4213 ± 0.0571
Root relative squared error
0.8727 ± 0.1182
SciMark benchmark
1160.7519