Yachay-AI/confident-predictions-challenge

Hackathon ML challenge

31
/ 100
Emerging

This challenge is designed for machine learning practitioners and researchers who want to improve the reliability of their predictive models. You'll input raw model predictions and optionally text data, then develop an algorithm to identify the top 10% of predictions that are most accurate. The output is a selection of predictions with the lowest error, helping you confidently use your models where precision matters most.

No commits in the last 6 months.

Use this if you need to reliably identify and utilize only the most confident predictions from your machine learning models.

Not ideal if you're looking for a pre-built, plug-and-play solution rather than an open-ended problem to solve.

machine-learning-engineering model-reliability predictive-analytics data-science confidence-scoring
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 19 / 25

How are scores calculated?

Stars

7

Forks

18

Language

Python

License

Last pushed

Jun 18, 2024

Commits (30d)

0

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