Dear All; I have built an AI model to classify the data using a dataset. Then i try to test this model to classify an external data set but it does not work properly because the code is not properly made , the code is below , could you help me in that :
clc; clear; close all; %Read The data [x1,TXT,RAW]=xlsread('ALL2.xlsx','lnRe'); [t1,TXT2,RAW2]=xlsread('ALL2.xlsx','OUT2');
x=x1';
t=t1';
net= patternnet ([100]);
net=init(net);
[net,tr] = train(net,x,t);
% Test the Network [x2,TXT3,RAW3]=xlsread('expsettest.xlsx','Ln(Re)'); [t2,TXT4,RAW4]=xlsread('expsettest.xlsx','out-test'); xt=x2'; tt=t2'; outputs = net( xt); errors = gsubtract(tt,outputs); performance = perform(net,tt,outputs)
figure, plotconfusion(tt,outputs)
