Machine Learning Model Interpretation

This repository provides a simple demonstration of how to interpret machine learning model predictions by generating permuted images and visualizing their impact on prediction using a heatmap.

Getting Started

1. Ensure you have Python and a code editor installed.
2. Open your code editor and create a file named perm_images.py.
3. Download a sample image and place it in the same directory.
4. Run python perm_images.py to generate permuted images.
5. Create a file named model_interpretation.py and run it with python model_interpretation.py to generate a heatmap.
6. Create a file named image_post_processing.py and run it with python image_post_processing.py to highlight regions based on the heatmap.

Conclusion

This simple demonstration helps you understand the significance of different image regions in machine learning model predictions.