DEVELOPMENT... OpenML
Run
46359

Run 46359

Task 3948 (Supervised Classification) KDDCup09_upselling Uploaded 01-11-2014 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)_I160
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
0.8553
Per class
Build CPU time
17079.0488
Build memory
842548117.6
F measure
0.9434
Per class
Kappa
0.5395
KB relative information score
24637.9564
Mean absolute error
0.0497
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
0.945
Per class
Predictive accuracy
0.9503
Prior entropy
0.3794
Recall
0.9503
Per class
Relative absolute error
0.3639
Root mean prior squared error
0.2612
Root mean squared error
0.2219
Root relative squared error
0.8497
SciMark benchmark
945.0342