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In general, the correlation coefficient is "invariant to separate changes in location and scale in the two variables". In particular, you can mix relative with absolute values. However, that only wo …

Let's look at the example of linear regression. Instead of deriving it from solving the normal equations, we can motivate it by thinking about it as finding the conditional distribution $P(y|x)$. Let' …

I think the documentation, at least for your example, is not too obscure. It doesn't tell you what kind of interpolation it uses because it doesn't use any: resample is a deferred operation. In order …

You can use the same tests on the raw time series. You are not required to use it on the residuals. That is just what these tests are usually used for (if you are interested in the quality of your mod …

I think in the original paper they suggest using $\log_2(N +1$), but either way the idea is the following: The number of randomly selected features can influence the generalization error in two ways: …