Run
263401

Run 263401

Task 4653 (Supervised Classification) KDDCup09_upselling Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.HyperPipes(1)Weka implementation of HyperPipes

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
0.5229
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8854
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0062
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-3077700.9038
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.493
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1364
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
500000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8649
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9101
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.3794
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9101
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
3.6129
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2612
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4931
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.8878
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1348.8637
UserCPU time millis
280
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
200
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10 times 10-fold Crossvalidation)