// README.md

Confusion Matrix Visualizer

This project is an interactive tool for visualizing and understanding confusion matrices, accuracy, precision, recall, and F1 score in the context of classification models.

Getting Started

  1. Clone the repository
  2. Install dependencies:
    npm install
    
  3. Start the development server:
    npm start
    
  4. Open http://localhost:3000 to view it in the browser.

Features

  • Interactive confusion matrix
  • Real-time calculation of accuracy, precision, recall, and F1 score
  • Adjustable matrix values
  • Explanations of error types and metric focus

Learn More

To learn more about confusion matrices and classification metrics, check out: