DEVELOPMENT... OpenML
Run
36369

Run 36369

Task 3948 (Supervised Classification) KDDCup09_upselling Uploaded 28-10-2014 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)_I10
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
0.8441
Per class
Build CPU time
966.5108
Build memory
995309305.6
F measure
0.9435
Per class
Kappa
0.5401
KB relative information score
24618.328
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
0.3643
Root mean prior squared error
0.2612
Root mean squared error
0.2223
Root relative squared error
0.8512
SciMark benchmark
945.0342