DEVELOPMENT... OpenML
Run
32017

Run 32017

Task 4425 (Supervised Classification) fri_c4_500_10 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
0.9547
Per class
Build CPU time
0.7987
Build memory
946910518.96
F measure
0.8836
Per class
Kappa
0.7644
KB relative information score
3179.4872
Mean absolute error
0.1932
Mean prior absolute error
0.4946
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8838
Per class
Predictive accuracy
0.8838
Prior entropy
0.9922
Recall
0.8838
Per class
Relative absolute error
0.3905
Root mean prior squared error
0.4973
Root mean squared error
0.2935
Root relative squared error
0.5903
SciMark benchmark
936.2885