DEVELOPMENT... OpenML
Run
166509

Run 166509

Task 6 (Supervised Classification) letter 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
0.8458
Per class
F measure
0.6379
Per class
Kappa
0.6267
KB relative information score
3032.4985
Mean absolute error
0.0718
Mean prior absolute error
0.074
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6562
Per class
Predictive accuracy
0.6411
Prior entropy
4.6998
Recall
0.6411
Per class
Relative absolute error
0.971
Root mean prior squared error
0.1923
Root mean squared error
0.1868
Root relative squared error
0.9715
SciMark benchmark
940.2922
UserCPU time millis
33630
UserCPU time millis testing
10890
UserCPU time millis training
22740