DEVELOPMENT... OpenML
Run
51045

Run 51045

Task 1752 (Learning Curve) vehicle 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.

19 Evaluation measures

Area under ROC curve
0.6477 ± 0.0329
Per class
Build CPU time
0.0076
Build memory
3057110166.1333
Kappa
0.1991 ± 0.0258
KB relative information score
0.1979 ± 0.0107
Mean absolute error
0.3381 ± 0.0034
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.3936 ± 0.0194
Prior entropy
1.9991 ± 0.0005
Recall
0.3936 ± 0.0194
Per class
Relative absolute error
0.9019 ± 0.009
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.411 ± 0.0044
Root relative squared error
0.9493 ± 0.0102
SciMark benchmark
1367.6268