Run
912

Run 912

Task 74 (Learning Curve) breast-w 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
0.9879 ± 0.0111
Per class
F measure
0.9579 ± 0.0213
Per class
Kappa
0.9069 ± 0.0471
KB relative information score
0.8704 ± 0.0423
Mean absolute error
0.0617 ± 0.0184
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
6990
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9579 ± 0.0208
Per class
Predictive accuracy
0.9579 ± 0.0212
Prior entropy
0.9293 ± 0.0041
Recall
0.9579 ± 0.0212
Per class
Relative absolute error
0.1365 ± 0.0406
Root mean prior squared error
0.4753 ± 0.0014
Root mean squared error
0.176 ± 0.0399
Root relative squared error
0.3703 ± 0.0838
SciMark benchmark
893.0388