Run
929

Run 929

Task 81 (Learning Curve) mfeat-zernike 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
0.7918 ± 0.0168
Per class
F measure
0.6296 ± 0.029
Per class
Kappa
0.5837 ± 0.0336
KB relative information score
0.6082 ± 0.0317
Mean absolute error
0.0749 ± 0.0061
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.6342 ± 0.0285
Per class
Predictive accuracy
0.6253 ± 0.0303
Prior entropy
3.3219
Recall
0.6253 ± 0.0303
Per class
Relative absolute error
0.4163 ± 0.0336
Root mean prior squared error
0.3
Root mean squared error
0.2738 ± 0.0111
Root relative squared error
0.9125 ± 0.0371
SciMark benchmark
880.0292