DEVELOPMENT... OpenML
Run
31646

Run 31646

Task 4368 (Supervised Classification) cholesterol Uploaded 13-10-2014 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
0.5688
Per class
Build CPU time
0.4424
Build memory
182853351.9815
F measure
0.5562
Per class
Kappa
0.1026
KB relative information score
142.9905
Mean absolute error
0.4748
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
0.5565
Per class
Predictive accuracy
0.5614
Prior entropy
0.9935
Recall
0.5614
Per class
Relative absolute error
0.9584
Root mean prior squared error
0.4977
Root mean squared error
0.5076
Root relative squared error
1.02
SciMark benchmark
951.4084