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Minor rewording.

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Robert Stojnic
2020-04-01 18:22:22 +01:00
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@@ -12,9 +12,9 @@ Goals of the ML Code Completeness Checklist:
- facilitate reproducibility
- make it easier for others build upon research code
We find that repositories that follow all of the checklist items get many more github stars (on median 200 more, and on average 2500 more).
We find that those repositories that score higher on the checklist tend to also have a higher number of GitHub stars.
For more details behind the checklist items please refer to our [medium post](https://medium.com/paperswithcode/). We also provide the [data](notebooks/code_checklist-neurips2019.csv) and [notebook](notebooks/code_checklist-analysis.Rmd) to reproduce this analysis from the medium post.
We've verified this by analysing NeurIPS 2019 repositories. For more details on this analyis please refer to our [medium post](https://medium.com/paperswithcode/). We also provide the [data](notebooks/code_checklist-neurips2019.csv) and [notebook](notebooks/code_checklist-analysis.Rmd) to reproduce this analysis from the post.
The checklist is made to be as general as possible. It consists of 5 items: