MATLAB: How can i evaluate the network performance as i have trained the model

classificationDeep Learning ToolboxMATLABneural networksimpowersystemsSimscape Electrical

I have trained my model with 100% accuracy,but i want to evaluate my trained work from test data set or unseen data.what should i add in my code for testing purpose? i-e to test validation data and test data
p = u; %inputs
t = f; %targets
[pn,ps] = mapminmax(p);
[tn,ts] = mapminmax(t);
%net = newff(p,t,10,10{},'trainlm');
net=newff(minmax(pn),[30,25,16],{'tansig','tansig','purelin'},'trainscg');
%net = init(net);
%  net.IW{1,1}=wts0;
%  net.b{1}=bias0;
net.trainParam.show =2;
net.trainParam.epochs =5000;
net.trainParam.goal =1e-7;
%net.trainParam.mc=0.95;
net.trainParam.lr=0.2;
[net,tr] = train(net,pn,tn);
ANN = sim(net,pn);
output1= mapminmax('reverse',ANN,ts);
wts1=net.IW{1,1};
bias1=net.b{1};
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