Classification Learner Dataset Preparation

I would like to use Classification Learner toolbox for LDA analysis. I have data of 6 different stimuli (6 colomn matrix). I need to classify them in two classes S+ and S-. Just to be sure I am doing it correct. I am organizing all data in two colomn matrix in a way that each colomn has 50% of each stimulus data. Is it correct?

 Risposta accettata

In Classification Learner, tables are the easiest way to use your data, because they can contain numeric and label data.
For more information you can refer to the below documentation on Select data and valiadation for classification problems:

Richiesto:

EK
il 5 Apr 2020

Risposto:

EK
il 6 Apr 2021

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