DEVELOPMENT... OpenML
Run
50824

Run 50824

Task 1722 (Learning Curve) cmc 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.RacedIncrementalLogitBoost_DecisionStump(2)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(2)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(2)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.4993
Per class
Build CPU time
0.0006
Build memory
424054862.88
KB relative information score
0.0055 ± 0.0029
Mean absolute error
0.4304 ± 0.0008
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]
Predictive accuracy
0.427 ± 0.0033
Prior entropy
1.539 ± 0.0029
Recall
0.427 ± 0.0033
Per class
Relative absolute error
0.9989 ± 0.0019
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4642 ± 0.0005
Root relative squared error
1.0003 ± 0.0002
SciMark benchmark
1948.3582