fitcsvm(X,Y,'KernelFunction','mysigmoid','Standardize',true); Mdl1 is a ClassificationSVM classifier containing the estimated parameters. Plot the data, and identify the support vectors and the decision boundary. % Compute the scores over a gridd = 0.02; % Step size of the grid[x1Grid,x2Grid] = meshgrid(min(X(:,1)):d:max(X(:,1)),...