Table 1.

Classification performance of DL algorithms.

Model	Sınıf	Precision	Recall	F1-Score	Support
ResNet101	Overbite 1	0.9195	0.8562	0.8867	160
	Overbite 2	0.7965	0.8562	0.8253	160
	Overbite 3	0.9057	0.9000	0.9028	160
	Accuracy			0.8708	480
DenseNet201	Overbite 1	0.8814	0.9750	0.9258	160
	Overbite 2	0.8741	0.7812	0.8251	160
	Overbite 3	0.9000	0.9000	0.9000	160
	Accuracy			0.8854	480
EfficientNet V2 B0	Overbite 1	0.9470	0.8938	0.9196	160
	Overbite 2	0.7802	0.8875	0.8304	160
	Overbite 3	0.9320	0.8562	0.8925	160
	Accuracy			0.8792	480
ConvNetBase	Overbite 1	0.9262	0.8625	0.8932	160
	Overbite 2	0.7600	0.8313	0.7940	160
	Overbite 3	0.8782	0.8562	0.8671	160
	Accuracy			0.8500	480
EfficientNet B0	Overbite 1	0.9091	0.9375	0.9231	160
	Overbite 2	0.8313	0.8625	0.8466	160
	Overbite 3	0.9463	0.8812	0.9126	160
	Accuracy			0.8938	480
Hybrid	Overbite 1	0.9091	0.9375	0.9231	160
	Overbite 2	0.8462	0.8250	0.8354	160
	Overbite 3	0.9057	0.9000	0.9028	160
	Accuracy			0.8875	480