/Box-Office-Prediction

Box-Office-Prediction

This repository contains the dataset used for training an ML model to predict the box office success (revenue) from other parameters, such as Genre, Budget, Popularity, Star Power, etc.

The data was taken from various TMDB datasets found on Kaggle, and then further run through the TMDB and OMDB APIs to fetch data for all features. Some the movies were also extracted from the TMDB Dataset through it's APIs directly.

The dataset has 6065 movies in total, with the following features:

  1. Genres
  2. ID
  3. Original Language
  4. Original Title
  5. Overview
  6. Popularity Rating
  7. Release Date
  8. Title
  9. TMDB Rating
  10. TMDB Vote Count
  11. IMDb ID
  12. Budget
  13. Revenue
  14. Production Companies
  15. Cast
  16. Crew
  17. Production Countries
  18. Spoken Languages
  19. Runtime
  20. Tagline
  21. MPAA Rating
  22. IMDb Rating
  23. IMDb Vote Count
  24. Star Power

The popularity index of the most popular actor in the movie was taken to be the Star Power. The IMDb Ratings and Vote Count was taken from the OMDB API, along with the MPAA rating.