πŸ—“οΈ Week 05 - Resampling methods

Theme: Supervised Learning

Author

This week in the lab, you will discover common metrics used to evaluate the performance of classification models. In the lecture, we will talk about the best submissions for the W05 mini competition, how to tweak model parameters and how to sample multiple training and test sets from the same data, something called resampling.

πŸ‘¨β€πŸ« Lecture Material

πŸŽ₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you can’t find the recordings, please contact πŸ“§ .

Material

Download the .qmd notebook below to follow along: