APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Lasso Regularization can be used for variable selection in Linear Regression.
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True
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False
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -True, In the case of lasso regression, we apply an absolute penalty which makes some of the coefficients zero.
Detailed explanation-2: -What is LASSO? LASSO, short for Least Absolute Shrinkage and Selection Operator, is a statistical formula whose main purpose is the feature selection and regularization of data models.
Detailed explanation-3: -Which of the following is true about “Ridge” or “Lasso” regression methods in case of feature selection? “Ridge regression” will use all predictors in final model whereas “Lasso regression” can be used for feature selection because coefficient values can be zero.
There is 1 question to complete.