advikmaniar / ml-healthcare-web-app

This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, and XGBoost to build powerful and accurate models to predict the status of the user (High Risk / Low Risk) with respect to Heart Attack and Breast Cancer.

• 👋 Hi, I’m @advikmaniar
• 👀 I build software and data models
• 🌱 I’m currently studying Computer Science
• 📫 How to reach me
  📧: [email protected]
  ☎️: (646)-9612018
  💼: https://adviks-portfolio.webflow.io/

ml-healthcare-web-app's Issues

Is there a problem with line 230 and 282?

Hi,
I plotted a confusion matrix, which means that 0 equals High-risk.
But 1 in line 230 and 282 of your code means High-risk.