DEVELOPMENT... OpenML
Run
33142

Run 33142

Task 29 (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
0.9338
Per class
Build CPU time
4.7625
Build memory
393934512.8
F measure
0.8725
Per class
Kappa
0.742
KB relative information score
435.514
Mean absolute error
0.196
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8726
Per class
Predictive accuracy
0.8725
Prior entropy
0.9913
Recall
0.8725
Per class
Relative absolute error
0.3967
Root mean prior squared error
0.497
Root mean squared error
0.3049
Root relative squared error
0.6135
SciMark benchmark
942.9143