Run
1262

Run 1262

Task 68 (Learning Curve) autos Uploaded 16-04-2014 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
0.8529 ± 0.061
Per class
F measure
0.7453 ± 0.0988
Per class
Kappa
0.6694 ± 0.1246
KB relative information score
0.6965 ± 0.1115
Mean absolute error
0.074 ± 0.0265
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7459 ± 0.0968
Per class
Predictive accuracy
0.7449 ± 0.0967
Prior entropy
2.2802 ± 0.0732
Recall
0.7449 ± 0.0967
Per class
Relative absolute error
0.335 ± 0.1197
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.2609 ± 0.0542
Root relative squared error
0.7865 ± 0.1633
SciMark benchmark
1137.3465