DEVELOPMENT... OpenML
Run
153575

Run 153575

Task 3534 (Supervised Classification) ohscal.wc Uploaded 10-02-2015 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
0.9449
Per class
F measure
0.7186
Per class
Kappa
0.6841
KB relative information score
7468.9224
Mean absolute error
0.0765
Mean prior absolute error
0.1787
Number of instances
11162
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7216
Per class
Predictive accuracy
0.718
Prior entropy
3.2759
Recall
0.718
Per class
Relative absolute error
0.4282
Root mean prior squared error
0.2989
Root mean squared error
0.1995
Root relative squared error
0.6674
SciMark benchmark
923.3111
UserCPU time millis
2429140
UserCPU time millis testing
200
UserCPU time millis training
2428940