DEVELOPMENT... OpenML
Run
130439

Run 130439

Task 13 (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
0.6508
Per class
Build CPU time
0.0135
Build memory
582010051.1329
F measure
0.6775
Per class
Kappa
0.1986
KB relative information score
29.6654
Mean absolute error
0.3647
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
0.6722
Per class
Predictive accuracy
0.6993
Prior entropy
0.8796
Recall
0.6993
Per class
Relative absolute error
0.8718
Root mean prior squared error
0.457
Root mean squared error
0.4507
Root relative squared error
0.9862
SciMark benchmark
939.0159