Run
758

Run 758

Task 72 (Learning Curve) breast-cancer 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
0.65 ± 0.1157
Per class
F measure
0.6666 ± 0.082
Per class
Kappa
0.1738 ± 0.199
KB relative information score
0.0942 ± 0.1338
Mean absolute error
0.3609 ± 0.0463
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.6595 ± 0.0958
Per class
Predictive accuracy
0.686 ± 0.0777
Prior entropy
0.8779 ± 0.0199
Recall
0.686 ± 0.0777
Per class
Relative absolute error
0.8627 ± 0.1087
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4634 ± 0.0467
Root relative squared error
1.0139 ± 0.1003
SciMark benchmark
939.8746