DEVELOPMENT... OpenML
Run
31740

Run 31740

Task 29 (Supervised Classification) credit-approval 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
0.9319
Per class
Build CPU time
0.7472
Build memory
513910664
F measure
0.8626
Per class
Kappa
0.7224
KB relative information score
442.4678
Mean absolute error
0.1884
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
0.8634
Per class
Predictive accuracy
0.8623
Prior entropy
0.9913
Recall
0.8623
Per class
Relative absolute error
0.3814
Root mean prior squared error
0.497
Root mean squared error
0.3106
Root relative squared error
0.6249
SciMark benchmark
939.9477