DEVELOPMENT... OpenML
Run
152159

Run 152159

Task 2257 (Supervised Classification) BNG(cylinder-bands) 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
0.8497
Per class
F measure
0.7731
Per class
Kappa
0.5331
KB relative information score
425944.5945
Mean absolute error
0.2893
Mean prior absolute error
0.4878
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
0.7731
Per class
Predictive accuracy
0.7742
Prior entropy
0.9823
Recall
0.7742
Per class
Relative absolute error
0.5931
Root mean prior squared error
0.4939
Root mean squared error
0.3942
Root relative squared error
0.7983
SciMark benchmark
930.32
UserCPU time millis
60170
UserCPU time millis testing
7560
UserCPU time millis training
52610