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mathgeek
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9 votes
2 answers
277 views

Can any data be learned using polynomial logistic regression

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?

4 votes
1 answer
256 views

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

3 votes
2 answers
195 views

How is the relationship between two variables $X$ and $Y$ supposed to "explain" $R^2\text%$ of the variation of the data?

2 votes
1 answer
223 views

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

2 votes
1 answer
63 views

(Soft question) Is one hot encoding preferable only in models where you multliply the feature by some coefficient?

2 votes
1 answer
67 views

What does correlation formula really tell you?

2 votes
1 answer
215 views

Why not always use Polynomial Regression to solve classification problems? [closed]

1 vote
1 answer
60 views

Relation between AUROC and threshold

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?

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?

0 votes
0 answers
23 views

Why does multicollinearity cause erratical behavior of coefficient estimates?

0 votes
1 answer
111 views

Why does stochastic gradient descent lead us to a minimum at all?

0 votes
0 answers
20 views

Relation between the lattice points in ROC plot and different pairs of positive and negative classes