DEVELOPMENT... OpenML
Run
148367

Run 148367

Task 3946 (Supervised Classification) KDDCup09_churn Uploaded 03-02-2015 by Felicia West
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Flow

weka.Dagging_DecisionStump(2)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_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
0.6352
Per class
F measure
0.8912
Per class
KB relative information score
-18689.66
Mean absolute error
0.1341
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
0.8585
Per class
Predictive accuracy
0.9266
Prior entropy
0.3787
Recall
0.9266
Per class
Relative absolute error
0.9854
Root mean prior squared error
0.2609
Root mean squared error
0.2588
Root relative squared error
0.9922
SciMark benchmark
947.9494
UserCPU time millis
1960
UserCPU time millis testing
70
UserCPU time millis training
1890