Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal

Table 4

Accumulative prediction outcomes based on frequency selection.

FSM	F (MHz)	SFFA (%)	AFFA (%)
All specimens have been completely differentiated from healthy and cancer samples	2.8	92.4	95.8
	6.1	94.6
	8.1	91.3
	9.9	96.5
	12.9	95.4
	15.4	92.8
	16.1	95.25
	18.3	95.7

Note. FSM: frequency selection method, F: frequency, SFFA: single frequency forecasting accuracy, and AFFA: assembled frequency forecasting accuracy.