DEVELOPMENT... OpenML
Run
52279

Run 52279

Task 1722 (Learning Curve) cmc Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.5912 ± 0.0347
Per class
Build CPU time
0.0015
Build memory
1214714837.44
F measure
0.411 ± 0.041
Per class
Kappa
0.1187 ± 0.0682
KB relative information score
0.1786 ± 0.0332
Mean absolute error
0.3773 ± 0.0158
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.4227 ± 0.0999
Per class
Predictive accuracy
0.465 ± 0.0443
Prior entropy
1.539 ± 0.0029
Recall
0.465 ± 0.0443
Per class
Relative absolute error
0.8757 ± 0.0364
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.5057 ± 0.0196
Root relative squared error
1.0895 ± 0.0423
SciMark benchmark
1853.1129