DEVELOPMENT... OpenML
Run
167819

Run 167819

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 19-02-2015 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)_I40
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
0.5109
Per class
F measure
0.5793
Per class
Kappa
0.0202
KB relative information score
-11.213
Mean absolute error
0.4184
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
0.5765
Per class
Predictive accuracy
0.5824
Prior entropy
0.901
Recall
0.5824
Per class
Relative absolute error
0.9671
Root mean prior squared error
0.4649
Root mean squared error
0.6168
Root relative squared error
1.3269
SciMark benchmark
941.7954
UserCPU time millis
150
UserCPU time millis testing
40
UserCPU time millis training
110