DEVELOPMENT... OpenML
Run
129742

Run 129742

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)_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
0.9565
Per class
Build CPU time
0.0315
Build memory
1041534272.2697
F measure
0.9491
Per class
Kappa
0.8933
KB relative information score
158.4664
Mean absolute error
0.0517
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
0.9503
Per class
Predictive accuracy
0.9494
Prior entropy
0.971
Recall
0.9494
Per class
Relative absolute error
0.1078
Root mean prior squared error
0.4897
Root mean squared error
0.2225
Root relative squared error
0.4543
SciMark benchmark
925.481