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How to run Classification Learner App on multiple data sets?

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I have 50 data sets. That is 50 tables. I have no problem to insert each one manually and by using Classification Learner App I can easily find the BEST model for a specific data set, and get that specific model accuracy.
Question is, can I use this in a loop somehow? I mean, in each iteration, I'd like to load the particular Table, train ALL models, and take MAXIMUM accuracy.
So by the end of the loop, I'd have 50 numbers, matching my original input of 50 tables.
Can this be done somehow? I wouldnt want to manaully calcualte for each and every table...

Accepted Answer

Aditya Patil
Aditya Patil on 18 Jun 2021
Currently, classification learner app doesn't provide feature to use multiple datasets.
One workaround is to export code for one dataset, and then use that code to loop over 50 datasets. See Generate MATLAB Code to Train the Model with New Data for more details.

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