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?
LASSO (Least Absolute Shrinkage and Selection Operator) is specifically designed to perform both regularization and variable selection by driving some coefficients to zero. Therefore, to pick the predictors that most influence the results, D. LASSO is the best choice.
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SuntzuLegacy
1 month, 1 week ago