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Refers to any model where a random variable is related to one or more random variables by a function that is linear in a finite number of parameters.

2 votes
1 answer
85 views

Binary variable in regression model (interview question)

I got this question, it may be easy but for some reason for me is not: you are given a binary variable $b\in [0,1]$, that has no predictive power on $y$, but has some on $X$. How would you use it to i …
marco's user avatar
  • 225
2 votes
2 answers
1k views

Interview question: overfitting, MSE over validation and test sets

Q: Consider two linear models, and a dataset split into a training set, a validation set, and a test set in a 70-15-15% proportion. The two models produce a comparable and low mean squared error (MSE) …
marco's user avatar
  • 225
2 votes
1 answer
998 views

scikit-learn linear regressor digests perfectly collinear features?

I am currently running this little piece of code: import numpy as np import sklearn.linear_model as skl_lm X = np.random.normal(size = 1000)**2 y = X + np.random.normal(size = 1000) Y = np.array([ [ …
marco's user avatar
  • 225