Question

I have two matrix one X with all the feature values with 300000 rows and 14 columns, where columns represent the feature ids. for each I have another variable which defines labels Y which is of dimension 300000 x 1 either 0 or 1.

How do I calculate logistic regression from this matrix ?

Answer 1

This is surprisingly easy.

m <- glm(Y ~ X, family = 'binomial')
summary(m)

In the future just try typing what seems obvious first. You’ll learn much faster if you’re not afraid of making mistakes.