DEVELOPMENT... OpenML
Run
51050

Run 51050

Task 1757 (Learning Curve) waveform-5000 Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

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

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
0.7602 ± 0.0076
Per class
Build CPU time
0.0611
Build memory
919345781.6
F measure
0.5014 ± 0.0516
Per class
Kappa
0.3856 ± 0.0412
KB relative information score
0.2692 ± 0.006
Mean absolute error
0.3636 ± 0.0024
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.5965 ± 0.1235
Per class
Predictive accuracy
0.589 ± 0.0278
Prior entropy
1.5849 ± 0
Recall
0.589 ± 0.0278
Per class
Relative absolute error
0.8181 ± 0.0054
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4173 ± 0.0044
Root relative squared error
0.8853 ± 0.0094
SciMark benchmark
1899.2826