Error using ~= Invalid types for comparison.

misclassrate = sum(Predicted ~= testdata.N)/numel(Predicted)

Here, my predicted variables are categorical while testdata.N is from a table.

Can anyone say what is the issue here?

[KSSV]

Check the class of Predicted and testdata.N....they should be of same to compare.

[Saraswathi S]

Thank you so much. That was the issue. one was a categorical data and the other double.

Answer 1

[Walter Roberson]

You probably used categorical(traindata.N) when you did the training -- that is, you probably took numeric data and converted it to categorical and used the categorical as the labels.

And how that it is time to validate, you have predicted categorical labels, but your testdata.N is still numeric. You have to convert it to categorical() in order to do the comparison.

misclassrate = sum(Predicted ~= categorical(testdata.N))/numel(Predicted)