DEVELOPMENT... OpenML
Run
27055

Run 27055

Task 29 (Supervised Classification) credit-approval Uploaded 08-10-2014 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)_I20
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
0.9251
Per class
Build CPU time
0.1259
Build memory
424730458.4
F measure
0.864
Per class
Kappa
0.7253
KB relative information score
442.1651
Mean absolute error
0.1882
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
0.8647
Per class
Predictive accuracy
0.8638
Prior entropy
0.9913
Recall
0.8638
Per class
Relative absolute error
0.381
Root mean prior squared error
0.497
Root mean squared error
0.3134
Root relative squared error
0.6306
SciMark benchmark
938.9269