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Predicting Metacritic Scores of Early Oscars Contenders


Objective: Based on past metacritic scores and other features determine if it is possible to predict the metacritic score for early oscars contenders.


Features

  • Director
  • Writer
  • Cast
  • Budget
  • Runtime
  • Release Date
  • MPAA Rating
  • Casts
  • Genre
  • Award Nominations

Target

  • Metacritic Score

Data Used

  • IMDB Awards Page
  • IMDB Titles Pages

Tools Used

  • BeautifulSoup
  • SciKit Learn
  • Matplotlib
  • Seaborn

Results

I used a scaled linear regression to get my final model. Intially I used the same and got an R^2 score of 0.88 and a RME 0f 4.25 but due to some data leakage I refined and was able to fix the engineered features to end up with a R^2 score of 0.28 and a final RME of 0.11

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