DEVELOPMENT... OpenML
Run
11525

Run 11525

Task 13 (Supervised Classification) breast-cancer Uploaded 22-05-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(1)_I40
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.6594
Per class
F measure
0.6817
Per class
Kappa
0.2055
KB relative information score
30.7652
Mean absolute error
0.3628
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
0.6804
Per class
Predictive accuracy
0.7098
Prior entropy
0.8796
Recall
0.7098
Per class
Relative absolute error
0.8674
Root mean prior squared error
0.457
Root mean squared error
0.4437
Root relative squared error
0.9709
SciMark benchmark
946.4216[558.51447076490831015.7906865781697482.7975877024999914.98785669253071760.017229859821]

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