DEVELOPMENT... OpenML
Run
130942

Run 130942

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)_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
0.9452
Per class
Build CPU time
0.133
Build memory
782082390.6067
F measure
0.9432
Per class
Kappa
0.8806
KB relative information score
156.4115
Mean absolute error
0.0568
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
0.9466
Per class
Predictive accuracy
0.9438
Prior entropy
0.971
Recall
0.9438
Per class
Relative absolute error
0.1184
Root mean prior squared error
0.4897
Root mean squared error
0.2331
Root relative squared error
0.4761
SciMark benchmark
927.3354