Evaluate a machine learning model : Evaluate Model Performance

The video tutorial covers the RANSAC algorithm and introduces two regression models: linear and robust regression. It explains the importance of performance evaluation and the methodology for comparing models. The tutorial details the train-test split process to avoid data snooping and discusses various model evaluation techniques, including residual analysis, mean square error, and coefficient of determination. It also compares models to a near-perfect example using the iris dataset. The video concludes with a summary and exercises for further learning.

What new insight or understanding did you gain from this video?