To Create mean squared error as a Function handle for input to genetic algorithm
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I am working on machine learning algorithms namely svm, knn, nb, elm etc. I wish to use ga for feature selection. The input matrix is of size 1250*36 where 36 is the number of features. I have the predicted output and original target matrix. The size of the matrix is 1250*5 since the number of classes is 5. Now I need to give the input matrix as input and to find the mean squared error between the predicted output and target matrix which should be formed as function handle which will be given as input to ga(genetic algorithm). Please help and share your points. Thanks in advance
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Accepted Answer
David Hill
on 12 Apr 2022
targetMatrix=50*rand(1250,5);
predictedOutput=50*rand(1250,5);
mse=@(t,p)mean((t-p).^2,'all');
MSE=mse(targetMatrix,predictedOutput);
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