Run
453777

Run 453777

Task 4653 (Supervised Classification) KDDCup09_upselling Uploaded 23-05-2015 by Joaquin Vanschoren
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Flow

weka.ADTree(4)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_S1

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
0.8555
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9435
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5411
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-892402.7924
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1779
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, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9447
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9502
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.3794
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9502
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.3034
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
0.2421
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9268
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
908.9569
UserCPU time millis
116710
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
100
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
116610
Cross-validation details (10 times 10-fold Crossvalidation)