DEVELOPMENT... OpenML
Run
145310

Run 145310

Task 3948 (Supervised Classification) KDDCup09_upselling Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_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.

22 Evaluation measures

Area under ROC curve
0.8517
Per class
F measure
0.9435
Per class
Kappa
0.5405
KB relative information score
6396.462
Mean absolute error
0.0879
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
0.9448
Per class
Predictive accuracy
0.9502
Prior entropy
0.3794
Recall
0.9502
Per class
Relative absolute error
0.6443
Root mean prior squared error
0.2612
Root mean squared error
0.2125
Root relative squared error
0.8136
SciMark benchmark
943.6956
UserCPU time millis
1112370
UserCPU time millis testing
420
UserCPU time millis training
1111950