DEVELOPMENT... OpenML
Run
22122

Run 22122

Task 15 (Supervised Classification) breast-w Uploaded 21-06-2014 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)_I160
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
0.9298
Per class
F measure
0.9341
Per class
Kappa
0.8541
KB relative information score
592.4878
Mean absolute error
0.0659
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9341
Per class
Predictive accuracy
0.9342
Prior entropy
0.9297
Recall
0.9342
Per class
Relative absolute error
0.1457
Root mean prior squared error
0.4753
Root mean squared error
0.2539
Root relative squared error
0.5342
SciMark benchmark
927.6586[521.7591007586004967.1041121399423483.0147548568529911.48820099582031754.9270356714871]