Machine Learning-Based Model in Predicting the Plate-End Debonding of FRP-Strengthened RC Beams in Flexure

Table 2

Performance of the models.

Models	Evaluation indicators
	Coefficient of variation (%)	Conservative (%)	Nonconservative (%)
SSA-BP	20.3	52	48
ACI	26.6	100	0
AS	44.5	38	63
CNR	23.4	79	21
Fib-1	25.1	100	0
Fib-2	21.2	80	20
TR55-1	48.3	39	61
TR55-2	20.5	95	5