Run
998

Run 998

Task 99 (Learning Curve) glass 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
0.7769 ± 0.0713
Per class
F measure
0.6753 ± 0.1047
Per class
Kappa
0.5602 ± 0.1362
KB relative information score
0.6043 ± 0.1248
Mean absolute error
0.0928 ± 0.0287
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.6759 ± 0.1086
Per class
Predictive accuracy
0.6752 ± 0.1005
Prior entropy
2.1835 ± 0.0748
Recall
0.6752 ± 0.1005
Per class
Relative absolute error
0.4385 ± 0.1352
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.3046 ± 0.0488
Root relative squared error
0.9389 ± 0.1492
SciMark benchmark
886.0891