Mean and SD obtained from a Trained Model - Classification Learner Toolbox

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Gustavo Araujo
Gustavo Araujo 2024-8-29
回答： UDAYA PEDDIRAJU 2024-8-29
Hello everyone!
I just want to know the meaning of the matrices mu and sigma that are obtained when we export a trained model from Classification Learner. For example, I got 12 features trained and both matrices of mean and standard deviation came out with 12 elements. If I need to know the mean and SD because I used k-fold, how to proceed?
Thank you all in advance.
Link of refference: k-nearest neighbor classification - MATLAB (mathworks.com)

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UDAYA PEDDIRAJU
UDAYA PEDDIRAJU 2024-8-29
Hi Gustavo,
The matrices "mu" and "sigma" represent the mean and standard deviation of each feature used for normalization during training. For k-fold, calculate these for each fold separately or use overall dataset values.

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