DEVELOPMENT... OpenML
Run
130630

Run 130630

Task 3045 (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)_I160
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
0.9514
Per class
Build CPU time
0.075
Build memory
303503696
F measure
0.9304
Per class
Kappa
0.8945
KB relative information score
51.9484
Mean absolute error
0.046
Mean prior absolute error
0.4356
Number of instances
58
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9389
Per class
Predictive accuracy
0.931
Prior entropy
1.5674
Recall
0.931
Per class
Relative absolute error
0.1056
Root mean prior squared error
0.4648
Root mean squared error
0.2144
Root relative squared error
0.4613
SciMark benchmark
927.3354