Test Set Method for Validation | Machine Learning | MATLAB

%Code :

x1= [1 2 3 4 5 6 7 8 9 10];%Original dataset(x coordinates)

y1= [4 2 3 1.7 1 1.2 1.5 1.9 2.3 2.7];%Original dataset(y coordinates)

x= x1([1 2 4 5 7 8 10]);%Training

y= y1([1 2 4 5 7 8 10]);%Training

x2 = x1([3 6 9]);%Test

y2 = y1([3 6 9]);%Test

plot(x,y,'b*','linewidth',3);%Plot of the training datapoints

hold on;

plot(x2,y2,'g+','linewidth',3);%Plot of the test datapoints

a=[];

for i=1:length(x)

    a=[a ; x(i) 1];

end

 c =a\y';%Linear regression coefficient calculation using training dataset

yR = c(1)*x1 + c(2); % the fitted line

plot(x1,yR,'k','linewidth',4);

legend("Training Data","Test Data","Fitted Line");

yR = c(1)*x2 + c(2); % test values

r=abs(y2-yR);%Residual

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