DEVELOPMENT... OpenML
Run
152662

Run 152662

Task 3948 (Supervised Classification) KDDCup09_upselling 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
0.8395
Per class
F measure
0.9407
Per class
Kappa
0.516
KB relative information score
2779.6212
Mean absolute error
0.0949
Mean prior absolute error
0.1364
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
0.9419
Per class
Predictive accuracy
0.9481
Prior entropy
0.3794
Recall
0.9481
Per class
Relative absolute error
0.6956
Root mean prior squared error
0.2612
Root mean squared error
0.2167
Root relative squared error
0.8295
SciMark benchmark
931.2336
UserCPU time millis
8080
UserCPU time millis testing
100
UserCPU time millis training
7980