EDUCATION & TRAINING
Why My Baseline Random Forest Model Beat XGBoost: A Deep Dive into the Titanic Survival Prediction Dataset
Dev.to Machine Learning
About This Tutorial
A practical look at feature engineering, model optimization, and why simpler models sometimes win on smaller datasets. When you start out in data science, you are often led to believe that there is a strict hierarchy of algorithms. You start with Linear Regression, move up to Random Forests, and eventually reach the holy grail: Gradient Boosting models like XGBoost. The assumption is usually that complex equals better results. But data science in the real world rarely follows a perfect script.