DEVELOPMENT... OpenML
Run
165562

Run 165562

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)_I160
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
0.8592
Per class
F measure
0.9401
Per class
Kappa
0.5301
KB relative information score
20506.168
Mean absolute error
0.0556
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
0.9385
Per class
Predictive accuracy
0.9446
Prior entropy
0.3794
Recall
0.9446
Per class
Relative absolute error
0.4077
Root mean prior squared error
0.2612
Root mean squared error
0.2272
Root relative squared error
0.8698
SciMark benchmark
936.7115
UserCPU time millis
681130
UserCPU time millis testing
410
UserCPU time millis training
680720