PREDICTING IMDB SCORE: AN APPLICATION OF DECISION TREES

The purpose of this project is to identify film attributes that influence the Internet Movie Database (IMDb) rating of a movie. Internet Movie Database or IMDb, is a searchable database that has a plethora of data about movies... [ view full abstract ]

The purpose of this project is to identify film attributes that influence the Internet Movie Database (IMDb) rating of a movie. Internet Movie Database or IMDb, is a searchable database that has a plethora of data about movies and various entertainment programs and the IMDb rating can be used to measure the success of a movie. The goal was to show that a film’s cast and crew social media popularity has a large impact on the IMDb rating of said film. This was done using a data mining tool called Microsoft SQL Server Analysis Services (SSAS). The Decision Tree algorithm was applied to the dataset and it became apparent which attributes had the biggest influence on the IMDb rating. This project will provide valuable information that will help when making a movie watching decision.