Now, we rescale one of these feature by multiplying with 10 (say that feature is X1), and then refit Lasso regression with the same regularization parameter. Suppose we fit “Lasso Regression” to a data set, which has 100 features (X1,X2…X100).When compared with Lasso regression, the Ridge regression works well in cases where we.With Lasso Regression the influence of the hyper parameter lambda, as lambda tends to infinity the solution approaches to _.With Lasso Regression the influence of the hyperparameter lambda, as lambda tends to zero the solution approaches to _.To do Ridge and Lasso Regression in R we will use which library _.In this Lasso and Ridge regression as alpha value increases, the slope of the regression line reduces and becomes horizontal.The effect of alpha value on both ridge and lasso regression is same in terms of value increase and decrease.Ridge regression takes _ value of variables.Ridge regression can reduce the slope close to zero (but not exactly zero) but Lasso regression can reduce the slope to be exactly equal to zero.The scikit-learn Python machine learning library provides an implementation of the Ridge Regression algorithm via the Ridge class.Confusingly, the lambda term can be configured via the “_” argument when defining the class.In Ridge regression, A hyper parameter is used called “_” that controls the weighting of the penalty to the loss function.Which of the following is used for evaluating regression models?.If two variables, x and y, have a very strong linear relationship, then.What type of penalty is used on regression weights in Ridge regression?.Which of the following of the coefficients is added as the penalty term to the loss function in Lasso regression?.What are the assumptions of linear regression?.The Los Angeles Rams gave Todd Gurley a four-year, 57.7 million dollar extension but had to cut him early into the deal. The cost function is altered by adding a penalty equivalent to the square of the magnitude of the coefficients The Cleveland Browns recently signed running back Nick Chubb to a three-year, 36.6 million extension despite recent running back extensions not working out. ![]() To check the linear relationship of dependent and independent continuous variables, which of the following plots are best suited?. ![]()
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