Build & Compare 3 ML Models on the Same Dataset

Summary

The core practice project for this phase — train a linear/logistic baseline, a tree-based model, and an ensemble model on the same problem, and compare their performance honestly.

• 1Pick a clean, well-known dataset so you can focus on modeling, not cleaning.
• 2Use the same train/test split and evaluation metric across all 3 models for a fair comparison.
• 3Write a short summary of which model won, and your hypothesis for why.