DEVELOPMENT... OpenML
Run
130542

Run 130542

Task 1777 (Supervised Classification) breast-cancer Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(2)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_OneR(2)_I160
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.658
Per class
Build CPU time
0.0064
Build memory
159982781.6
F measure
0.6787
Per class
Kappa
0.2022
KB relative information score
154.0937
Mean absolute error
0.3586
Mean prior absolute error
0.4183
Number of instances
1430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6732
Per class
Predictive accuracy
0.6993
Prior entropy
0.8796
Recall
0.6993
Per class
Relative absolute error
0.8573
Root mean prior squared error
0.457
Root mean squared error
0.4593
Root relative squared error
1.005
SciMark benchmark
927.3354