DEVELOPMENT... OpenML
Run
166201

Run 166201

Task 3849 (Supervised Classification) analcatdata_marketing 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)_I160
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
0.5266
Per class
F measure
0.5747
Per class
Kappa
0.0171
KB relative information score
-22.0396
Mean absolute error
0.4312
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5752
Per class
Predictive accuracy
0.5742
Prior entropy
0.901
Recall
0.5742
Per class
Relative absolute error
0.9966
Root mean prior squared error
0.4649
Root mean squared error
0.5978
Root relative squared error
1.2859
SciMark benchmark
934.5243
UserCPU time millis
130
UserCPU time millis testing
40
UserCPU time millis training
90