Open Food Facts — Nutrition Grade Prediction

Grade Distribution

Feature Importance (Top 6)

Fat vs Carbs by Grade

Model Metrics

Model	RandomForestClassifier
n_estimators	100
Train/Test Split	80/20
Random Seed	42
Test Accuracy	0.285
Features	energy, fat, saturated_fat, carbs, sugars, fiber, proteins, salt, sodium

Note: Low accuracy is expected — the synthetic dataset has a randomly assigned target, independent of features. In a real-world setting, features would have meaningful predictive power for nutrition grade.