DEVELOPMENT... OpenML
Run
19204

Run 19204

Task 13 (Supervised Classification) breast-cancer Uploaded 12-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(1)_I40
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(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
0.6656
Per class
F measure
0.688
Per class
Kappa
0.2382
KB relative information score
60.1625
Mean absolute error
0.3081
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6831
Per class
Predictive accuracy
0.6958
Prior entropy
0.8796
Recall
0.6958
Per class
Relative absolute error
0.7365
Root mean prior squared error
0.457
Root mean squared error
0.5153
Root relative squared error
1.1275
SciMark benchmark
944.6368[557.62168423933221011.2594872886406482.7975877024999911.48820099582031760.0170946291457]