DEVELOPMENT... OpenML
Run
21039

Run 21039

Task 42 (Supervised Classification) haberman 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)_I10
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
0.6173
Per class
F measure
0.6533
Per class
Kappa
0.1008
KB relative information score
3.4982
Mean absolute error
0.3493
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.65
Per class
Predictive accuracy
0.6569
Prior entropy
0.836
Recall
0.6569
Per class
Relative absolute error
0.8956
Root mean prior squared error
0.4412
Root mean squared error
0.5807
Root relative squared error
1.3162
SciMark benchmark
930.4697[556.7317897675096998.9399207242031473.6399836662232889.83032039946191733.2063769163399]