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Table 2 Performance of different classifiers

From: Development of a model webserver for breed identification using microsatellite DNA marker

Method

Sensitivity

Specificity

Accuracy

MCC

FDR

Bayes NET

0.858

0.993

0.987

0.851

0.142

Naïve Bayes

0.404

0.972

0.946

0.376

0.596

Multilayer-Perceptron

0.450

0.974

0.950

0.424

0.550

Random Forest

0.682

0.985

0.971

0.667

0.318

  1. The best performing classifier is represented in bold.