BigML News, Issue #101, March 2022
BigML Challenge: 2022 Oscar Predictions
 
Hi <<Full Name>>,

Can you really beat a simple Machine Learning model? Well, nobody said it was easy!

The 94th Academy Awards honoring movies released in 2021 will take place on Sunday, March 27, 2022. This year we would like to make our annual ritual in predicting the Oscar winners via Machine Learning even more exciting by inviting all of you to actively take part in this fun challenge.
 
Ready, Get Set… Predict!
 
2022 Oscar Predictions
This dataset is prepared to predict the following 20 categories. Feel free to predict all of them, any of them, or just one, it's up to you!
  • Best Picture
  • Best Director
  • Best Actor in a Leading Role
  • Best Actress in a Leading Role
  • Best Actor in a Supporting Role
  • Best Actress in a Supporting Role
  • Best Adapted Screenplay
  • Best Original Screenplay
  • Best Cinematography
  • Best Costume Design
  • Best Film Editing
  • Best Sound Editing
  • Best Sound Mixing
  • Best Visual Effects
  • Best Makeup and Hairstyling
  • Best Music, Original Song
  • Best Music, Original Score
  • Best Production Design
  • Best International Feature Film
  • Best Animated Feature Film
A little tip: With the given data, you might need to build one model per category for better results, but please feel free to follow your own modeling strategy.
 
The following three datasets are work-in-progress datasets with the information available up until now. In the coming days, some more movie industry awards will be handed out that could also be useful when making the Oscar predictions. The last event will take place on March 20, so we will share the complete dataset on March 21. Feel free to use these datasets or other data sources, that is your choice:
Kindly notice that the objective fields are listed as "Oscar_Best_XXXXXXX_won" and there are 20 different categories you can predict. As mentioned above, you will most likely need to build one model per category. The remaining fields are the predictor fields, e.g., "Oscar_Best_XXXXXX_nominated". Below are some explanations:
  • XXXXXXX_won: Numeric. (Number of awards won at that specific event)
  • XXXXXXX_won_categories: Items. (Categories that were won at that specific event)
  • XXXXXXX_nominated: Numeric. (Number of nominations for that specific event)
  • XXXXXXX_nominated_categories: Items. (Nominations for that specific event) 
 
The deadline to submit your predictions is March 23 at the end of your business day. You can submit your results by sending an email to support@bigml.com or simply by replying to this email.

You can submit a maximum of two picks per category in case you are using different approaches, e.g., ML model-based prediction versus your intuition. Please stick to the following format when submitting: 

BigML Username: alfred

Best Picture
  • ML-based: Dune (OPTIONAL: X% prediction confidence. It is not mandatory to use BigML for your ML predictions, however, if you do, you can share your BigML model via a secret link if you wish.)
  • Intuition: Don't look up.
We want the world to know how good your predictions are so we will present the best performing predictors on BigML's social media channels as well as on BigML's blog. Additionally, we might also invite you to present your solution to one of our Machine Learning Schools!
 
Looking forward to your participation and good luck everyone!!!
Submit your predictions
Twitter
LinkedIn
Facebook
YouTube
BigML Inc.

Our mailing address is:
BigML, Inc
2851 NW 9th Street
Suite D, Conifer Plaza Building
Corvallis, Oregon 97330

Add us to your address book


Copyright © 2022 BigML, Inc, All rights reserved.