Computer Science, asked by sukanyapechetti, 1 year ago

How does LASSO differ from Ridge Regression? LASSO uses L1 regularization while Ridge Regression uses L2 regularization LASSO uses L2 regularization while Ridge Regression uses L1 regularization The LASSO constraint is a high-dimensional rhomboid while the Ridge Regression constraint is a high-dimensional ellipsoid Ridge Regression shrinks more coefficients to 0 compared to LASSO The Ridge Regression constraint is a high-dimensional rhomboid while the LASSO constraint is a high-dimensional ellipsoid Ridge Regression shrinks less coefficients to 0 compared to LASSO

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Answered by gogiya167
0

Answer: Ridge Regression shrinks less coefficients to 0 compared to LASSO.

The only difference from ride regression is that the regulation term is in absolute value.Ridge Regression shrinks less coefficients to 0 compared to LASSO.

                Hence last option is correct.

 

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