DEVELOPMENT... OpenML
Run
22344

Run 22344

Task 13 (Supervised Classification) breast-cancer Uploaded 21-06-2014 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)_I80
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
0.6678
Per class
F measure
0.6936
Per class
Kappa
0.2549
KB relative information score
59.9535
Mean absolute error
0.3084
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
0.6895
Per class
Predictive accuracy
0.6993
Prior entropy
0.8796
Recall
0.6993
Per class
Relative absolute error
0.7372
Root mean prior squared error
0.457
Root mean squared error
0.5159
Root relative squared error
1.1287
SciMark benchmark
931.98[560.30860489012831014.7209476623404482.14720472367435885.32253643874941717.4005119951792]