I tried to predict something with the matlab classification learner. Unfortunately, my code has an error in line 12 again.
I describe what I intend to do and hope anyone can solve it:
I have created a data set with 405 rows and 7 columns. The data set consists of positive numbers. I would now like to use the trained model to predict the 406 series. As I said, I fail at the prediction function from matlab. It would be great if anyone could solve that for me.
It is important to me that it is determined based on my live script and the trained model which is based on the gaussian with a treshhold of 7. Please no time series and when the code is executed the result must never change unless I add new values for example. Let's say hundreds of new rows. Then of course it should adapt to the new values. But it is enough for me if we can do this using the specified data set.
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