DEVELOPMENT... OpenML
Run
148369

Run 148369

Task 3948 (Supervised Classification) KDDCup09_upselling 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
0.767
Per class
F measure
0.935
Per class
Kappa
0.5038
KB relative information score
10467.0568
Mean absolute error
0.1011
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
0.9331
Per class
Predictive accuracy
0.9378
Prior entropy
0.3794
Recall
0.9378
Per class
Relative absolute error
0.7407
Root mean prior squared error
0.2612
Root mean squared error
0.2248
Root relative squared error
0.8607
SciMark benchmark
917.7039
UserCPU time millis
2210
UserCPU time millis testing
80
UserCPU time millis training
2130