90% accuracy claim.

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
25/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Stale
Tech stack
machine-learning, python

Research direction

Review the 90% accuracy statement on https://codist-ai.com/ and the repository’s available model documentation. Identify what the metric measures, which evaluation data and method produced it, and document the explanation so the claim can be understood and assessed.

Written by the indexing model from the issue text.

Description

It is mentioned on the website (https://codist-ai.com/) that this model gives 90% accuracy.
Can you elaborate what exactly is this accuracy and how is it measured?

Dominant language
Python
Stars
54
Forks
4
PR merge metrics
No merged PRs in 30d

Contributor guide

No contributing guide indexed for this repository

First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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