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mathgeek
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9 votes
2 answers
277 views

Can any data be learned using polynomial logistic regression

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5 votes
1 answer
372 views

Why do you need non-linear regression if you can use a linear one to fit any kind of curvature to your data?

  • 491
4 votes
1 answer
256 views

Here's why you can (hopefully) use $R^2$ for non-linear models. Why not?

  • 491
2 votes
1 answer
223 views

The reason (and intuition) behind why stochastic gradient descent can get stuck on a local minimum

  • 491
1 vote
1 answer
46 views

Why to put variance around the mean line to the definition of $R^2$? By what is this particular choice dictated?

  • 491
1 vote
0 answers
49 views

Why to calculate $\mathbf{weighted}$ average of the leaf node impurities in decision trees? Why not to just add entropies up without weights?

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0 votes
0 answers
23 views

Why does multicollinearity cause erratical behavior of coefficient estimates?

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