Run
1842

Run 1842

Task 1730 (Learning Curve) credit-g Uploaded 23-04-2014 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
0.5995 ± 0.0687
Per class
F measure
0.6697 ± 0.0648
Per class
Kappa
0.2085 ± 0.1476
KB relative information score
0.1356 ± 0.1638
Mean absolute error
0.339 ± 0.063
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.6677 ± 0.0628
Per class
Predictive accuracy
0.672 ± 0.0683
Prior entropy
0.8813
Recall
0.672 ± 0.0683
Per class
Relative absolute error
0.8069 ± 0.15
Root mean prior squared error
0.4583
Root mean squared error
0.5677 ± 0.057
Root relative squared error
1.2389 ± 0.1244
SciMark benchmark
841.4986