(feature_max_test - feature_min_test); Md1 = fitcsvm(x_train,y_train,'KernelFunction','linear','Solver','SMO'); %% Final test with test set test_accuracy_for_iter(j) = sum((predict(Md1,x_test) == y_test))/length(y_test)*100; class_weight_for_iter(j,:) = abs(Md1.Beta)...