What Training Five Machine Learning Models On The Same Dataset Taught Me About Machine Learning.

Training five machine learning models on the same diabetes dataset revealed that no single model wins across every performance metric — Gaussian Naive Bayes led in accuracy, Decision Tree in recall, and KNN in precision. This showed that accuracy alone is misleading, especially in healthcare, where missing a sick patient carries real consequences. Choosing the right model means matching evaluation metrics to the actual goal of the project.