DEVELOPMENT... OpenML
Run
129864

Run 129864

Task 42 (Supervised Classification) haberman 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)_I80
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
0.5624
Per class
Build CPU time
0.0334
Build memory
331316432.4967
F measure
0.6841
Per class
Kappa
0.1486
KB relative information score
10.5747
Mean absolute error
0.3507
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6741
Per class
Predictive accuracy
0.7092
Prior entropy
0.836
Recall
0.7092
Per class
Relative absolute error
0.8992
Root mean prior squared error
0.4412
Root mean squared error
0.4798
Root relative squared error
1.0876
SciMark benchmark
916.8903