📃: Explainable AI on Cancer Dataset #302
Labels
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.
🔴 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.
Screenshots 📷
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered: