DEVELOPMENT... OpenML
Run
19055

Run 19055

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

weka.AdaBoostM1_IBk(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_IBk(1)_I160
weka.AdaBoostM1_IBk(1)_P100
weka.AdaBoostM1_IBk(1)_S1
weka.AdaBoostM1_IBk(1)_Wweka.classifiers.lazy.IBk
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.6143
Per class
F measure
0.6879
Per class
Kappa
0.2333
KB relative information score
75.07
Mean absolute error
0.2851
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
0.6823
Per class
Predictive accuracy
0.6993
Prior entropy
0.8796
Recall
0.6993
Per class
Relative absolute error
0.6816
Root mean prior squared error
0.457
Root mean squared error
0.5198
Root relative squared error
1.1372
SciMark benchmark
938.2923[560.66883299690021014.7208839634673483.23216931738307891.34301295072431741.496644184919]