DEVELOPMENT... OpenML
Run
55090

Run 55090

Task 2097 (Learning Curve) satimage Uploaded 10-11-2014 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.

21 Evaluation measures

Area under ROC curve
0.9698 ± 0.0069
Per class
Build CPU time
0.092
Build memory
2170273056.9143
F measure
0.8349 ± 0.0144
Per class
Kappa
0.7979 ± 0.015
KB relative information score
0.7778 ± 0.0227
Mean absolute error
0.0748 ± 0.0078
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8343 ± 0.0143
Per class
Predictive accuracy
0.8369 ± 0.0119
Prior entropy
2.4834 ± 0.0009
Recall
0.8369 ± 0.0119
Per class
Relative absolute error
0.2771 ± 0.0288
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2007 ± 0.0085
Root relative squared error
0.5461 ± 0.0232
SciMark benchmark
1634.4504