DEVELOPMENT... OpenML
Run
33932

Run 33932

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 16-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
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
0.5736
Per class
Build CPU time
0.2102
Build memory
299577321.8182
F measure
0.6136
Per class
Kappa
0.2269
KB relative information score
4.777
Mean absolute error
0.4793
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6136
Per class
Predictive accuracy
0.6136
Prior entropy
0.9996
Recall
0.6136
Per class
Relative absolute error
0.9591
Root mean prior squared error
0.4999
Root mean squared error
0.5098
Root relative squared error
1.0199
SciMark benchmark
735.213