DEVELOPMENT... OpenML
Run
46965

Run 46965

Task 4653 (Supervised Classification) KDDCup09_upselling Uploaded 05-11-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.8537
Per class
Build CPU time
6484.1395
Build memory
1597234671.76
F measure
0.9437
Per class
Kappa
0.5416
KB relative information score
246717.6397
Mean absolute error
0.0496
Mean prior absolute error
0.1364
Number of instances
500000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9452
Per class
Predictive accuracy
0.9505
Prior entropy
0.3794
Recall
0.9505
Per class
Relative absolute error
0.3638
Root mean prior squared error
0.2612
Root mean squared error
0.2216
Root relative squared error
0.8486
SciMark benchmark
944.0892