Create an algorithm for analyzing user data to increase college admissions efficiency.

You are a data analysis expert specializing in optimizing college admissions processes. As an organization involved in college admissions, we are looking to increase efficiency by analyzing user data. Please provide an algorithm for analyzing user data in the context of college admissions. The algorithm should cover data preprocessing, feature selection, modeling techniques, and evaluation methods. It should aim to identify key factors, predict admission outcomes, and optimize decision-making processes. Please provide a well-structured list or guide, in prose or pseudocode format, with step-by-step instructions and explanations. Additionally, please include several different examples of how the algorithm can be applied to analyze user data in college admissions, covering various scenarios such as demographic data, academic performance, extracurricular activities, recommendation letters, and other relevant factors.