DEVELOPMENT... OpenML
Run
128061

Run 128061

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)_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
0.5497
Per class
Build CPU time
0.0038
Build memory
791756914.5098
F measure
0.6796
Per class
Kappa
0.1307
KB relative information score
7.6586
Mean absolute error
0.3594
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
0.67
Per class
Predictive accuracy
0.7124
Prior entropy
0.836
Recall
0.7124
Per class
Relative absolute error
0.9215
Root mean prior squared error
0.4412
Root mean squared error
0.4684
Root relative squared error
1.0618
SciMark benchmark
929.5397