DEVELOPMENT... OpenML
Run
53769

Run 53769

Task 1728 (Learning Curve) credit-approval Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging(1)_P100
weka.Bagging(1)_S1
weka.Bagging(1)_num-slots1
weka.Bagging(1)_I10
weka.Bagging(1)_Wweka.classifiers.trees.LADTree

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
0.9402 ± 0.0345
Per class
Build CPU time
0.3339
Build memory
2883725071.3
F measure
0.8683 ± 0.0536
Per class
Kappa
0.7341 ± 0.1088
KB relative information score
0.6251 ± 0.0765
Mean absolute error
0.1984 ± 0.035
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8692 ± 0.0528
Per class
Predictive accuracy
0.8681 ± 0.0536
Prior entropy
0.9912 ± 0.0022
Recall
0.8681 ± 0.0536
Per class
Relative absolute error
0.4017 ± 0.0711
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3057 ± 0.0473
Root relative squared error
0.6151 ± 0.0955
SciMark benchmark
1624.8488