Midterm -- Predicting Plant performance

Each team will submit to: EvalAI: Evaluating state of the art in AI

Goal: Form a team that will win the MLCA2021 competition!

Midterm assignment:

• Submit your prediction(s) to EvalAI: Evaluating state of the art in AI

• GitHub Repo and/or CyVerse Data Store containing:

  • Code (cleaning data, loading data, running models, etc.)

  • Model

  • Model weights

  • Hyperparameters

  • Evaluation metrics

  • README that describes of how model was trained, tested, validated

  • Instructions for someone to use your code, model, and modify/retrain with more data

• Read NCBI - WWW Error Blocked Diagnostic and for each rule, write a paragraph about how your team abided (or not) by each rule.

• Sections on:

  • Lessons learned

  • Technologies learned

  • Methodologies learned

  • Acknowledgements (who and what helped your team along the way)

• If your team is in the top 6 of the competition, you get an automatic “A” for the midterm (and donuts and carrots/hummus from Nirav)

• Bonus:

  • Containers for code

  • Notebooks for running code and showing plots

• Submit a teammate evaluation: https://forms.gle/CQYguy98xZ7ZzW2V9

  • If you don’t submit a teammate evaluation you will receive no points for the midterm

  • Due 10/28/21

• Due Dates:

  • 10/18/21:

    • Submit draft predictions to MLCA2021 competition leader board

      • Post your ranking on your Team Page for the midterm

    • Submit draft GitHub repo and documentation for review/feedback to Nirav and Eric

  • 10/25/21:

    • Submit final predictions to MLCA2021 competition

      • Post rankings on your Team Page

    • Submit final GitHub repo and documentation