DEVELOPMENT... OpenML
Run
116273

Run 116273

Task 3836 (Supervised Classification) wine Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I160
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9718
Per class
Build CPU time
0.2015
Build memory
950103163.9551
F measure
0.9774
Per class
Kappa
0.9527
KB relative information score
169.3975
Mean absolute error
0.0225
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
0.9783
Per class
Predictive accuracy
0.9775
Prior entropy
0.971
Recall
0.9775
Per class
Relative absolute error
0.0468
Root mean prior squared error
0.4897
Root mean squared error
0.1499
Root relative squared error
0.3061
SciMark benchmark
937.5625