For Analytic Solver, partition the data sets into $50\%$ training, $30\%$ validation, and $20\%$ test and use $12345$ as the default random seed. When searching for the optimal value of k$,$ search within possible k values from $1$ to $10.$ If the predictor variable values are in the character format, then treat the predictor variable as a categorical variable. Otherwise, treat the predictor variable as a numerical variable.

Daniel Lara, a Human Resources manager at a large tech consulting firm, has been reading about using analytics to predict the success of new employees. With the fast$-$changing nature of the tech industry, some employees have had difficulties staying current in their field and have missed the opportunity to be promoted into a management position. Daniel is particularly interested in whether or not a new employee is likely to be promoted into a management role after $10$ years with the company. In the accompanying data file, he gathers information on $300$ current employees who have worked for the firm for at least $10$ years. The information was based on the job application that the employees provided when they originally applied for a job at the firm. For each employee, the following variables are listed: Promoted $(1$ if promoted within $10$ years, $0$ otherwise$),$ GPA $($college GPA at graduation$),$ Sports $($number of athletic activities during college$),$ and Leadership $($number of leadership roles in student organizations$).$