DEVELOPMENT... OpenML
Run
152658

Run 152658

Task 3946 (Supervised Classification) KDDCup09_churn 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
0.668
Per class
F measure
0.8928
Per class
Kappa
0.0286
KB relative information score
-26606.2646
Mean absolute error
0.1344
Mean prior absolute error
0.1361
Number of instances
50000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8799
Per class
Predictive accuracy
0.9241
Prior entropy
0.3787
Recall
0.9241
Per class
Relative absolute error
0.9876
Root mean prior squared error
0.2609
Root mean squared error
0.2597
Root relative squared error
0.9957
SciMark benchmark
931.2336
UserCPU time millis
8060
UserCPU time millis testing
80
UserCPU time millis training
7980

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