👩‍🍳 Recipe Relevancy Classifier

Binary classification models to determine recipe relevancy trained using manually labelled Reddit comments from r/Cooking.
Please see the report for annotation guidelines, model methodology, metrics, and other details.

🗣️ Team: Eric, Sydney, Jake, Kristen, Yaxin

Included in this repo:

• A writeup for the assignment (Report.pdf)
• A proposal for a multi-class recipe problem (Proposal.pdf)
• Some Prodigy recipes (outputs not viewable in GitHub preview) (Code.ipynb)
• Models for experiments 1 and 2
• All data used:
  • Unlabeled training set (homework2_train.jsonl)
  • Unlabeled evaluation set (homework2_eval.jsonl)
  • Labeled evaluation set, uncombined (hmwk2-eval-1000.jsonl)
  • Labeled evaluation set, combined (hmwk2-eval-final.jsonl)
  • Labeled training set (hmwk2-train-final.jsonl)
• requirements.txt