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📃: Explainable AI on Cancer Dataset #302

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inkerton opened this issue Oct 8, 2024 · 2 comments
Closed

📃: Explainable AI on Cancer Dataset #302

inkerton opened this issue Oct 8, 2024 · 2 comments
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Contributor Denotes issues or PRs submitted by contributors to acknowledge their participation. gssoc-ext hacktoberfest level2 Status: Assigned Indicates an issue has been assigned to a contributor.

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@inkerton
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inkerton commented Oct 8, 2024

🔴 Title : Explainable AI on Cancer Dataset
🔴 Aim : Explainable AI means explaining the process behind an AI reaching to a conclusion. Here I have used the Explainable AI algorithms ( 4 different usages explained ) to determine how an AI can detect a Cancer patient and the process.
🔴 Brief Explanation : This project lets the user understand how an AI predicted or examined a person might have cancer. The explaination behind the result and logic behind the process is explained via 4 different usages of the LIME algorithm that stand for Local Interpretable Model-agnostic Explanations.

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  • Full name : inkerton
  • What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.)
  • GSSOC

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

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github-actions bot commented Oct 8, 2024

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@UTSAVS26 UTSAVS26 added Contributor Denotes issues or PRs submitted by contributors to acknowledge their participation. Status: Assigned Indicates an issue has been assigned to a contributor. level2 gssoc-ext hacktoberfest labels Oct 8, 2024
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