Run
695

Run 695

Task 99 (Learning Curve) glass Uploaded 08-04-2014 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
0.9127 ± 0.0482
Per class
F measure
0.7565 ± 0.0793
Per class
Kappa
0.6709 ± 0.1183
KB relative information score
0.6458 ± 0.0714
Mean absolute error
0.0993 ± 0.0157
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7593 ± 0.0758
Per class
Predictive accuracy
0.7612 ± 0.0856
Prior entropy
2.1835 ± 0.0748
Recall
0.7612 ± 0.0856
Per class
Relative absolute error
0.4691 ± 0.0738
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.2231 ± 0.0291
Root relative squared error
0.6876 ± 0.0894
SciMark benchmark
866.2597