thnaks for your great post!

Just a quick question.

You use coefficients of a linear regression to measure how important an independent variable is to a dependent variable.

However, coefficient = r (sy/sx1), which means if the variance of x1 is big , then the coefficient is small.

But I would still say that x1 is a good feature suffice it to say that r is high.

What do you think ]]>

I have some questions about joint contribution:

– how exactly is it calculated ?

– If a contribution of x1 is 0.05 and x2 is 0.001 for ex. and their joint contribution (x1, x2) :0.12. Does it mean that these two variables interact between them?

Thank you in advance !

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