Support vector Regresson

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I have an input parameter and 15 output parameters, want to make a correlation in between input and output through support vector regression. Support vector regression is giving me a predicated function to predict new values but i am not able to find a correlation in  between input and ouput. Could you suggest me a way  how to develop a tool between inputs and output.  Please give me details about Scaling , select features, select kernel and model parameters, cross validation and test the parameter agains validation data set for this particular programm. I will be highy grateful to you.

Regards

Manoj
Nov 7, 2020 in Python by manoj
• 120 points
323 views

1 answer to this question.

0 votes

Hi,@ Manoj,

I would suggest you go through this: http://jasss.soc.surrey.ac.uk/21/4/1.html

answered Nov 9, 2020 by anonymous
• 65,910 points

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