DEVELOPMENT... OpenML
Run
32914

Run 32914

Task 3836 (Supervised Classification) wine Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I160
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9912
Per class
Build CPU time
0.2303
Build memory
811411968.0449
F measure
0.9604
Per class
Kappa
0.917
KB relative information score
149.1324
Mean absolute error
0.0843
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
0.9618
Per class
Predictive accuracy
0.9607
Prior entropy
0.971
Recall
0.9607
Per class
Relative absolute error
0.1758
Root mean prior squared error
0.4897
Root mean squared error
0.1922
Root relative squared error
0.3926
SciMark benchmark
943.7111