Lecture
Model Selection: ROC Curves, Regression Evaluation, Conclusion
Description
This lecture covers the concept of thresholding in binary decision-making, the Receiver Operating Characteristic (ROC) curve, precision-recall curves, mean squared error, root mean squared error, root mean squared error log, coefficient of determination, naive methods for regression and classification, model selection, and the importance of evaluating models on unseen data. The instructor concludes by highlighting the need for further exploration in machine learning techniques.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.