College Admission Algorithm As you know, the college admissions process involves a lot of types of data from prospective students to make decisions

College Admission Algorithm As you know, the college admissions process involves a lot of types of data from prospective students to make decisions. With the number of applicants increasing, colleges rely on algorithms to select applicants. An algorithm could use quantitative data--such as GPA and SAT score--to provide recommendations. In fact, there is more data available than ever. Many colleges even track data about prospective student engagement - e.g., whether they open emails, visit the college website, engage on social media, etc. This creates a "demonstrated interest" value. Based on a recent survey of college admissions officers, we know some of the weights that humans tend to give to these different types of data. Your task will be to write a program that iterates through a list of data points and provides a recommendation (using an algorithm described later in the question) for which prospective students are likely to be the best candidates for admission. Prospective student data is organized in a text file such that the data for each student is on one line, with the values separated by commas. Here is an example of a text file containing three students' data: