Egyptian Journal of Forensic Sciences

Table 5 Accuracy table of machine learning algorithms

From: Sex and age estimation with machine learning algorithms with parameters obtained from cone beam computed tomography images of maxillary first molar and canine teeth

Algorithms	25–30 vs 31–36	25–30 vs 37–49	25–30 vs 50–54	Total sex
DT	0.79	0.68	0.73	0.71
ETC	0.68	0.61	0.69	0.69
RF	0.84	0.74	0.85	0.77
LDA	0.68	0.65	0.81	0.69
QDA	0.79	0.58	0.69	0.67
LR	0.68	0.61	0.81	0.69
ADA	0.74	0.74	0.81	0.81

DT decision tree, ETC extra tree classifier, RF random forest, LDA linear discriminant analysis, QDA quadratic discriminant analysis, LR logistic regression, ADA AdaBoost classifier

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