Run
144

Run 144

Task 71 (Learning Curve) mfeat-factors Uploaded 07-04-2014 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
0.9146 ± 0.0142
Per class
F measure
0.8462 ± 0.0257
Per class
Kappa
0.8292 ± 0.0284
KB relative information score
0.8392 ± 0.0268
Mean absolute error
0.0308 ± 0.0051
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8463 ± 0.0249
Per class
Predictive accuracy
0.8463 ± 0.0256
Prior entropy
3.3219
Recall
0.8463 ± 0.0256
Per class
Relative absolute error
0.1708 ± 0.0284
Root mean prior squared error
0.3
Root mean squared error
0.1754 ± 0.0147
Root relative squared error
0.5845 ± 0.0491
SciMark benchmark
1946.5938