Computer scienceData scienceMachine learningRegression

Regularized regression

Sparse model

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Imagine that you need to build a regression model to estimate a required dose of vitamin D supplement from the patient dataset with the following five columns:

name;
gender;
current vitamin D blood level;
number of sunny days in the previous year;
patient’s Zodiac sign.

If you do not filter the columns beforehand, which model is likely to perform best on these data?

Select one option from the list

Lasso regression

Ordinary least squares regression

Mean predictor (predict average value of the target on the training data)

Ridge regression

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