DEVELOPMENT... OpenML
Run
129629

Run 129629

Task 3713 (Supervised Classification) schlvote 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)_I40
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
0.7071
Per class
Build CPU time
0.0058
Build memory
1245642905.0526
F measure
0.7895
Per class
Kappa
0.4571
KB relative information score
15.2712
Mean absolute error
0.2114
Mean prior absolute error
0.3934
Number of instances
38
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7895
Per class
Predictive accuracy
0.7895
Prior entropy
0.8485
Recall
0.7895
Per class
Relative absolute error
0.5372
Root mean prior squared error
0.4405
Root mean squared error
0.4588
Root relative squared error
1.0416
SciMark benchmark
916.8903