DEVELOPMENT... OpenML
Run
152109

Run 152109

Task 2074 (Supervised Classification) satimage Uploaded 09-02-2015 by Felicia West
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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.

22 Evaluation measures

Area under ROC curve
0.9706
Per class
F measure
0.8343
Per class
Kappa
0.7971
KB relative information score
5034.1617
Mean absolute error
0.0728
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8338
Per class
Predictive accuracy
0.8361
Prior entropy
2.4836
Recall
0.8361
Per class
Relative absolute error
0.2695
Root mean prior squared error
0.3675
Root mean squared error
0.2004
Root relative squared error
0.5453
SciMark benchmark
923.3111
UserCPU time millis
780
UserCPU time millis testing
30
UserCPU time millis training
750