DEVELOPMENT... OpenML
Run
33515

Run 33515

Task 1909 (Supervised Classification) credit-approval 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
0.9323
Per class
Build CPU time
5.9954
Build memory
984258297.36
F measure
0.8722
Per class
Kappa
0.7414
KB relative information score
4347.9315
Mean absolute error
0.1967
Mean prior absolute error
0.494
Number of instances
6900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8723
Per class
Predictive accuracy
0.8722
Prior entropy
0.9913
Recall
0.8722
Per class
Relative absolute error
0.3981
Root mean prior squared error
0.497
Root mean squared error
0.3069
Root relative squared error
0.6175
SciMark benchmark
688.6932

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