DEVELOPMENT... OpenML
Run
47234

Run 47234

Task 1742 (Learning Curve) spambase Uploaded 05-11-2014 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
0.8359 ± 0.0334
Per class
Build CPU time
0.0522
Build memory
347785944.2857
F measure
0.7865 ± 0.018
Per class
Kappa
0.5499 ± 0.0372
KB relative information score
0.512 ± 0.0255
Mean absolute error
0.2335 ± 0.0117
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7866 ± 0.0193
Per class
Predictive accuracy
0.7885 ± 0.0187
Prior entropy
0.9674 ± 0.0006
Recall
0.7885 ± 0.0187
Per class
Relative absolute error
0.4889 ± 0.0245
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.4094 ± 0.0282
Root relative squared error
0.8378 ± 0.0576
SciMark benchmark
1737.9306