Evaluate a machine learning model : Assignment – Getting Better Test Sample Results by Measuring Model Performance

This video tutorial covers feature selection, a method to improve model performance by selecting a subset of features. It explains the use of lasso regression to prevent overfitting and introduces the Comparative Evolution of Prediction Algorithms dataset. The tutorial outlines steps for completing an assignment, including data processing, feature selection, and model evaluation using cross-validation and ridge regression. It concludes with a preview of unsupervised learning.

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

Evaluate responses using AI:

OFF