Skip to content

Winning model documentation

Winning Model Documentation Guidelines

A. MODEL SUMMARY

A1. Background on you/your team

  • Competition Name:
  • Team Name:
  • Private Leaderboard Score:
  • Private Leaderboard Place:
  • Name: Guillermo Barbadillo
  • Location: Pamplona, SPAIN
  • Email: guilllermobarbadillo@gmail.com

A2. Background on you/your team

What is your academic/professional background?

Did you have any prior experience that helped you succeed in this competition?

What made you decide to enter this competition?

How much time did you spend on the competition?

If part of a team, how did you decide to team up?

If you competed as part of a team, who did what?

A3. Summary

A4. Features Selection / Engineering

What were the most important features?

How did you select features?

Did you make any important feature transformations?

Did you find any interesting interactions between features?

Did you use external data? (if permitted)

A5. Training Method(s)

What training methods did you use?

Did you ensemble the models?

If you did ensemble, how did you weight the different models?

A6. Interesting findings

What was the most important trick you used?

What do you think set you apart from others in the competition?

Did you find any interesting relationships in the data that don't fit in the sections above?

A7. Simple Features and Methods

A8. Model Execution Time

How long does it take to train your model?

How long does it take to generate predictions using your model?

How long does it take to train the simplified model (referenced in section A6)?

How long does it take to generate predictions from the simplified model?

A9. References

B. SUBMISSION MODEL

B1. All code, data, and your trained model goes in a single archive

B2. README.md

B3. Configuration files

B4. requirements.txt

B5. directory_structure.txt

B6. SETTINGS.json

B7. Serialized copy of the trained model

B8. entry_points.md

Last update: 2024-04-19
Back to top