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@LitZeus LitZeus commented Oct 10, 2024

Description

This PR implements a diabetes detection model using three ensemble techniques: Stacking, Soft Voting, and Hard-Soft Voting, based on the Pima Indians Diabetes dataset. The motivation behind this approach is to enhance predictive accuracy and reliability in diabetes detection, contributing to better decision-making in healthcare applications.

Fixes #1318

Type of change

  • Added a new machine learning frameworks, libraries or software.
  • Documentation update

Checklist:

  • My code follows the style guidelines of this project
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings

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Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

@sanjay-kv sanjay-kv merged commit 7e85e51 into recodehive:main Oct 11, 2024
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💡[Feature]: Adding Diabetes detection model using 3 ensemble models
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