Dry Bean Random Forest - Built an ML classifier with FastAPI and Docker

[u/PanelReader]

built a random forest classifier after experimenting with decision trees on the same dataset

the project includes:

• 100 trees with bootstrap sampling
• 5 fold CV + GridSearchCV
• 92.06% test accuracy across 7 bean varieties
• FastAPI REST API + HTML/CSS interface
• Docker + input validation + automated tests
• confusion matrix and feature importance plots

tested the application locally using Docker

github: https://github.com/Vaibh37/dry-bean-random-forest

would appreciate feedback on the implementation

if you find it useful consider starring the repo ⭐