DEVELOPMENT... OpenML
Run
53374

Run 53374

Task 1752 (Learning Curve) vehicle Uploaded 08-11-2014 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
0.4944
Per class
Build CPU time
0.0005
Build memory
1844496856
Kappa
-0.0043
KB relative information score
0.0003 ± 0.0001
Mean absolute error
0.3748 ± 0
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
0.2541 ± 0.0058
Prior entropy
1.9991 ± 0.0005
Recall
0.2541 ± 0.0058
Per class
Relative absolute error
1 ± 0
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4329 ± 0
Root relative squared error
1 ± 0
SciMark benchmark
1206.3605