Part II. Comparing Data Mining Methods Here we will compare the performance of the best KNN classifier with the linear probability model (LPM) and logistic regression (LR). Estimate a linear probability model (LPM) to predict SW using all variables in the data frame as predictors. With a cutoff of 0.5, find the validation error rate for this classifier. Estimate the logistic regression model (LR) to predict SW using all other variables as predictors. Using a cutoff of 0.5, compute its validation error rate. 7/2/24, 9:48 AM Quiz: Homework 4 https://umd.instructure.com/courses/1372317/quizzes/1694424/take?preview=1 5/8 Question 15 1 pts Question 16 1 pts Using the validation error rates, compare the three classification models developed. In your view, which model would generate the best predictions? What would be the best estimate of its predictive performance