FriendHook is a popular social networking app designed for college campuses. Students can connect as friends in the FriendHook network. A recommendation engine emails users weekly with new friend suggestions based on their existing connections; students can ignore these recommendations, or they can send out friend requests. We have been provided with one week’s worth of data pertaining to friend recommendations and student responses. That data is stored in the friendhook/Observations.csv file. We’re provided with two additional files: friendhook/Profiles.csv and friendhook/Friendships.csv, containing user profile information and the friendship graph, respectively. The user profiles have been encrypted to protect student privacy. Our goal is to build a model that predicts user behavior in response to the friend recommendations. We will do so by following these steps: