Egyptian Journal of Forensic Sciences

Table 9 Tenfold cross-validation accuracy value

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

Groups	Algorithms	Mean ± standard deviation
25–30 vs 31–36	DT	76.67 ± 2.55
	ETC	66.54 ± 1.25
	RF	82.82 ± 1.92
	LDA	69.38 ± 1.49
	QDA	76.94 ± 1.63
	LR	69.06 ± 1.39
	ADA	71.25 ± 1.41
25–30 vs 37–49	DT	63.12 ± 2.10
	ETC	60.32 ± 1.22
	RF	67.95 ± 2.26
	LDA	62.24 ± 1.22
	QDA	58.14 ± 1.57
	LR	62.50 ± 1.39
	ADA	71.86 ± 2.71
23–30 vs 50–54	DT	66.74 ± 2.58
	ETC	68.32 ± 1.16
	RF	84.55 ± 2.06
	LDA	77.94 ± 1.14
	QDA	64.01 ± 2.15
	LR	79.56 ± 2.09
	ADA	78.08 ± 1.31
Cinsiyet	DT	64.51 ± 1.66
	ETC	66.34 ± 1.88
	RF	72.92 ± 1.66
	LDA	65.75 ± 1.36
	QDA	68.33 ± 1.57
	LR	66.29 ± 1.05
	ADA	78.66 ± 1.29

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