Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › Artificial Intelligence › Machine Learning & Data

Regression metrics

concept · part of Machine Learning & Data

Metrics used to evaluate the performance of regression models, such as MSE and R-squared.

Inside Regression metrics (2)

MSE — Mean squared error; average squared difference between predicted and actual values, sensitive to large errors.
R-squared — Proportion of variance in the dependent variable explained by independent variables; ranges 0 to 1.

This is the text view of an interactive 3D knowledge graph — open this page with JavaScript enabled to explore it visually.

Select a node

The owner's editing tools — shown here so you can see how the graph is grown, but read-only.

Click a bubble to drill in · click again to collapse · drag to move around