DSCI 425 Supervised Learning – Lasso, and Elastic Net Regression (85 points) PROBLEM 1 OF APPLICATIONS RECEIVED BY COLLEGES – This problem is essentially problem #9 (pg. 263 of the text), although I am making some minor changes and additions to the tasks outlined in the text problem. College data Below is a description of the frame in the ISLR library. U.S. News and Report's College Data Description Statistics for a large number of US Colleges from the 1995 issue of US News and World Report. College Format A data frame with 777 observations on the following 18 variables. - A factor with levels and indicating private or public university Private No Yes - Number of applications received Apps Accept - Number of applications accepted - Number of new students enrolled Enroll - Pct. new students from top 10% of H.S. class Top10perc - Pct. new students from top 25% of H.S. Top25perc - Number of fulltime undergraduates F.Undergrad - Number of parttime undergraduates P.Undergrad - Out-of-state tuition Outstate - Room and board costs Room.Board - Estimated book costs - Estimated personal spending Personal - Pct. of faculty with Ph.D.'s PhD - Pct. of faculty with terminal degree Terminal - Student/faculty ratio S.F.Ratio - Pct. alumni who donate perc.alumni - Instructional expenditure per student Expend - Graduation rate Grad.Rate Source This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the ASA Statistical Graphics Section's 1995 Data Analysis Exposition. References Games, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, , Springer-Verlag, New York
DSCI 425 – Supervised Learning Lasso, and Elastic Net Regression (85 points) 1 – OF APPLICATIONS RECEIVED BY COLLEGES This problem is essentially problem #9 (pg. 263 of the text), although I am making some minor changes and additions to the tasks outlined in the text problem. Below is a description of the College data frame in the ISLR library. U.S. News and Report's College Data Description Statistics for a large number of US Colleges from the 1995 issue of US News and World Report. College Format A data frame with 777 observations on the following 18 variables. Private - A factor with levels No and Yes indicating private or public university Apps - Number of applications received Accept - Number of applications accepted Enroll - Number of new students enrolled Top10perc - Pct. new students from top 10% of H.S. class Top25perc - Pct. new students from top 25% of H.S. F.Undergrad - Number of fulltime undergraduates P.Undergrad - Number of parttime undergraduates Outstate - Out-of-state tuition Room.Board - Room and board costs - Estimated book costs Personal - Estimated personal spending PhD - Pct. of faculty with Ph.D.'s Terminal - Pct. of faculty with terminal degree S.F.Ratio - Student/faculty ratio perc.alumni - Pct. alumni who donate Expend - Instructional expenditure per student Grad.Rate - Graduation rate Source This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the ASA Statistical Graphics Section's 1995 Data Analysis Exposition. References Games, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, , Springer-Verlag, New York PROBLEM
DSCI%20425%20-%20Assign%204%20(2018).docx