The question of whether one can predict the success of a musical composition has been asked many times over the years. Researchers looking into hit song science, as it is called, have been able to predict whether a song will chart with varying degrees of success. However, not many have tried to look at how successful pop songs have changed over time and whether these changes can be tracked, to see if we are able to predict what popular songs in the future will be like. In my project, I will be looking at some of the attributes of popular music from the early 1900s to today, and seeing how those attributes change or become more important in determining a song’s release year and genre. Using the popular data mining and machine learning framework WEKA, I hope to be able to track what attributes of a song give insight into the genre that that song falls into and the decade in which the song was released.