DEVELOPMENT... OpenML
Run
128540

Run 128540

Task 3836 (Supervised Classification) wine 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
0.9656
Per class
Build CPU time
0.0054
Build memory
348613303.6404
F measure
0.9099
Per class
Kappa
0.8117
KB relative information score
147.6411
Mean absolute error
0.0796
Mean prior absolute error
0.4798
Number of instances
178
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9099
Per class
Predictive accuracy
0.9101
Prior entropy
0.971
Recall
0.9101
Per class
Relative absolute error
0.166
Root mean prior squared error
0.4897
Root mean squared error
0.2456
Root relative squared error
0.5016
SciMark benchmark
943.5504