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Table 4 Performance comparison between J48 and decision tree based ensembles

From: Classification of genomic islands using decision trees and their ensemble algorithms

Method

Sensitivity

Specificity

F-Measure

Accuracy

AUC

J48

0.858

0.843

0.850

0.850

0.892

AdaBoost

0.890

0.910

0.902

0.900

0.932

Bagging

0.870

0.872

0.873

0.871

0.940

MultiBoost

0.880

0.871

0.876

0.876

0.942

Random Forest

0.819

0.889

0.859

0.850

0.908

  1. The ensemble classifiers include bagging, AdaBoost, MultiBoost, random forest.
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BMC Genomics

ISSN: 1471-2164

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