DEVELOPMENT... OpenML
Run
128140

Run 128140

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)_I10
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
0.6638
Per class
Build CPU time
0.0019
Build memory
1287748619.2
F measure
0.6802
Per class
Kappa
0.2059
KB relative information score
151.1438
Mean absolute error
0.3608
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
0.6749
Per class
Predictive accuracy
0.7007
Prior entropy
0.8796
Recall
0.7007
Per class
Relative absolute error
0.8626
Root mean prior squared error
0.457
Root mean squared error
0.4532
Root relative squared error
0.9916
SciMark benchmark
929.5397