DEVELOPMENT... OpenML
Run
152139

Run 152139

Task 203 (Supervised Classification) BNG(soybean) 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
0.9923
Per class
F measure
0.893
Per class
Kappa
0.883
KB relative information score
898398.1603
Mean absolute error
0.0148
Mean prior absolute error
0.0961
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8953
Per class
Predictive accuracy
0.8932
Prior entropy
3.847
Recall
0.8932
Per class
Relative absolute error
0.1539
Root mean prior squared error
0.2192
Root mean squared error
0.0908
Root relative squared error
0.4142
SciMark benchmark
943.6956
UserCPU time millis
516150
UserCPU time millis testing
52330
UserCPU time millis training
463820