DEVELOPMENT... OpenML
Run
167123

Run 167123

Task 3948 (Supervised Classification) KDDCup09_upselling Uploaded 18-02-2015 by Felicia West
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Flow

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

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
0.6412
Per class
F measure
0.8574
Per class
Kappa
0.0707
KB relative information score
-74253.1089
Mean absolute error
0.2071
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
0.8737
Per class
Predictive accuracy
0.8429
Prior entropy
0.3794
Recall
0.8429
Per class
Relative absolute error
1.5177
Root mean prior squared error
0.2612
Root mean squared error
0.3698
Root relative squared error
1.4159
SciMark benchmark
938.4285
UserCPU time millis
64020
UserCPU time millis testing
14230
UserCPU time millis training
49790