$($B$)$ You have trained a neural network to predict the power efficiency of a retigerator given various parameters of the remgerator $($eg cooling

volume, wattage, number of compartments, etc$).$ Your network achieves an impressive $98\%$ accuracy on the vast amount of data you have access to

Now, you want to do a parameter search on the parameters and find a set of parameters that gives the minimum losa $($maximum efficiency$),$ You then plan to use these parameters fo build a refrigerator that now gives the best power efficency, Will this plan work? $(2$ marks$)$