DEVELOPMENT... OpenML
Run
164507

Run 164507

Task 3948 (Supervised Classification) KDDCup09_upselling Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8539
Per class
F measure
0.9412
Per class
Kappa
0.5355
KB relative information score
20716.788
Mean absolute error
0.0551
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
0.9398
Per class
Predictive accuracy
0.9461
Prior entropy
0.3794
Recall
0.9461
Per class
Relative absolute error
0.4039
Root mean prior squared error
0.2612
Root mean squared error
0.2248
Root relative squared error
0.8607
SciMark benchmark
876.8277
UserCPU time millis
393310
UserCPU time millis testing
290
UserCPU time millis training
393020