Data Science, Machine Learning, Data Analytics, Knowledgebase Analytics, Regularization.
the data metric = "RMSE" ) # Coefficients Plot coef <- as.matrix(coef(ridgeModel$finalModel, s = ridgeModel$bestTune$lambda)) coef <- coef[coef != 0, , drop = FALSE] # Remove zero coefficients # Remove the intercept coef <- coef[-1, , drop = FALSE] # Create a data frame for plotting coef_df <-