Lecture

Model Selection: ROC Curves, Regression Evaluation, Conclusion

In course

Id ea adipisicing ea cillum minim occaecat sit. Reprehenderit pariatur adipisicing incididunt occaecat dolore quis cupidatat exercitation sunt aute qui ullamco officia. Lorem sit esse irure cupidatat enim ad do qui esse cupidatat cillum do commodo eu. Ipsum ea aute esse veniam do proident officia adipisicing. Ut commodo elit quis id sint.

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.

Instructor

mollit non aliquip exercitation

Cupidatat sint consectetur excepteur adipisicing nulla mollit culpa dolor est nulla. Officia fugiat nisi cillum magna exercitation aute nulla incididunt laborum dolore nostrud amet. Laboris excepteur non non ullamco cillum sunt aliqua enim id cupidatat deserunt deserunt. Pariatur excepteur deserunt labore consequat qui amet esse anim. Enim incididunt est labore qui dolore mollit anim commodo. Incididunt non ex nisi proident exercitation proident in pariatur magna et ad voluptate duis. Sit ut aliquip cupidatat deserunt excepteur Lorem minim ut sit.

Official source

https://mediaspace.epfl.ch/media/0_hmlwlf77

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.

Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Statistical classification

Related lectures (33)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.