CompTIA
DY0-001 · Question #74
A data scientist is working with a data set that has ten predictors and wants to use only the predictors that most influence the results. Which of the following models would be the best for the data…
The correct answer is D. LASSO. LASSO regression uses an L1 penalty that drives less-important feature coefficients to exactly zero, effectively selecting only the predictors that most influence the outcome.
Machine Learning
Question
A data scientist is working with a data set that has ten predictors and wants to use only the predictors that most influence the results. Which of the following models would be the best for the data scientist to use?
Options
- AOLS
- BRidge
- CWeighted least squares
- DLASSO
How the community answered
(28 responses)- A4% (1)
- B4% (1)
- C14% (4)
- D79% (22)
Explanation
LASSO regression uses an L1 penalty that drives less-important feature coefficients to exactly zero, effectively selecting only the predictors that most influence the outcome.
Topics
#LASSO#feature selection#regularization#variable importance
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