DEVELOPMENT... OpenML
Run
21170

Run 21170

Task 30 (Supervised Classification) page-blocks Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(1)_I80
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.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
0.9665
Per class
F measure
0.9716
Per class
Kappa
0.8502
KB relative information score
4392.8205
Mean absolute error
0.0116
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9713
Per class
Predictive accuracy
0.972
Prior entropy
0.6391
Recall
0.972
Per class
Relative absolute error
0.1522
Root mean prior squared error
0.1949
Root mean squared error
0.1027
Root relative squared error
0.5271
SciMark benchmark
943.5551[567.04832706770641014.7208839634673481.0671525802613897.75340120097631757.1857345400422]