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Table 4 The quantities to test the age of majority for six ML models

From: Using machine learning to determine age over 16 based on development of third molar and periodontal ligament of second molar

 

RF

DT

SVM

KNN

BNB

LR

Sensitivity

0.868

0.873

0.889

0.893

0.896

0.894

Specificity

0.848

0.845

0.864

0.856

0.829

0.839

Accuracy

0.821

0.823

0.846

0.835

0.791

0.805

Bayes posttest probability

0.907

0.906

0.918

0.913

0.899

0.903

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BMC Oral Health

ISSN: 1472-6831

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