DEVELOPMENT... OpenML
Run
33058

Run 33058

Task 4368 (Supervised Classification) cholesterol Uploaded 14-10-2014 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
0.5887
Per class
Build CPU time
1.9834
Build memory
167520319.9472
F measure
0.5656
Per class
Kappa
0.1235
KB relative information score
145.3614
Mean absolute error
0.4757
Mean prior absolute error
0.4955
Number of instances
3030
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5683
Per class
Predictive accuracy
0.5739
Prior entropy
0.9935
Recall
0.5739
Per class
Relative absolute error
0.9602
Root mean prior squared error
0.4977
Root mean squared error
0.4965
Root relative squared error
0.9975
SciMark benchmark
940.8368