DEVELOPMENT... OpenML
Run
34242

Run 34242

Task 4368 (Supervised Classification) cholesterol Uploaded 18-10-2014 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)_I80
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
0.588
Per class
Build CPU time
0.9692
Build memory
842229915.4482
F measure
0.5663
Per class
Kappa
0.1244
KB relative information score
145.543
Mean absolute error
0.4758
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
0.5685
Per class
Predictive accuracy
0.5739
Prior entropy
0.9935
Recall
0.5739
Per class
Relative absolute error
0.9603
Root mean prior squared error
0.4977
Root mean squared error
0.497
Root relative squared error
0.9986
SciMark benchmark
947.115