CodePeak 2025 : Medical Insurance Cost Prediction

[HarshitSeth77]

Related Issue

• Info about the related issue

• CodePeak 2025 Participant

• Contributor

Closes: #647 that will be closed through this PR

Describe the add-ons or changes you've made

Give a clear description of what have you added or modifications made

Type of change

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Checklist:

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[welcome]

Hello there! 👋 Welcome to the project! 💖
Thank you and congrats 🎉 for opening your first pull request. Please adhere to our Code of Conduct. 🙌🏻 We will get back to you as soon as we can. 😄

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[prathimacode-hub]

Plz follow the naming conventions as mentioned, also brief the README file. Add accuracies, give conclusion summary. @HarshitSeth77

[prathimacode-hub]

You didn't list out all the models used along with prediction accuracies gained, and in summary statement you have to precise the process and mention which algorithm is best fit model and why in README.md file. Follow the naming convention for ur project folder name. Add requirements.txt file that lists all libraries / packages required to complete this modelling problem statement. @HarshitSeth77

[prathimacode-hub]

You used only random forest, use atleast 3-4 algorithms implemented. @HarshitSeth77

[HarshitSeth77]

Hi @prathimacode-hub . Actually in regression tasks , accuracy is not a suitable metric for evaluating the performance of a model like random forest regressor. Accuracy is typically used for tasks related to classification. And I'll change the folder name in the next commit.

[HarshitSeth77]

Hi @prathimacode-hub , have made all the changes told by you . Kindly review asap .

[prathimacode-hub]

Your PR is approved. 🙌 @HarshitSeth77

[HarshitSeth77]

Hi @prathimacode-hub Thanks for PR approval! .My score on the website is still showing as 0. Could you please look into this?
Also, kindly merge the PR if possible. Thanks for your help!

[welcome]

Congrats on merging your first Pull Request! 🎉 All the best for your amazing open source journey ahead. 🚀⚡️