use the predict function with the trained model knnmodel to classify a letter with an aspect ratio of 4 and a duration of 1.2. store the predictions in a variable called predicted. in matlab

Assuming you have trained a KNN model named knnmodel with properly formatted training data, you can use the predict function to classify new data points. Here's how you can use it to classify a letter with an aspect ratio of 4 and a duration of 1.2:

main.m
% define new data point
new_point = [4, 1.2];

% classify new data point using KNN model
predicted = predict(knnmodel, new_point);
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The predict function takes two arguments: the trained model (knnmodel in this case) and the new data point to classify (new_point in this case). The function returns the predicted classification label for the new data point, which is stored in the predicted variable.