Run
1315

Run 1315

Task 1730 (Learning Curve) credit-g Uploaded 17-04-2014 by Jan van Rijn
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Flow

weka.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.7418 ± 0.0621
Per class
F measure
0.7338 ± 0.0451
Per class
Kappa
0.3443 ± 0.113
KB relative information score
0.1906 ± 0.0678
Mean absolute error
0.3332 ± 0.0235
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7337 ± 0.0459
Per class
Predictive accuracy
0.749 ± 0.0409
Prior entropy
0.8813
Recall
0.749 ± 0.0409
Per class
Relative absolute error
0.7929 ± 0.0559
Root mean prior squared error
0.4583
Root mean squared error
0.4225 ± 0.0256
Root relative squared error
0.922 ± 0.056
SciMark benchmark
1148.3913