🗓️ Week 05 - Recap of classification metrics + resampling

Theme: Supervised Learning

Welcome to the fifth week of this course!

This week, I will do a recap of logistic regression per popular demand, and we will recap the classification metrics we touched on last week. I will also show you different resampling techniques.

👨‍🏫 Lecture Material

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Part I: Whiteboard Recap

1. Logistic function
2. Confusion matrix
3. Decision-making: thresholds -> updating confusion matrices
4. Model-based evaluation: ROC curve
5. Model-based evaluation: AUC

Student interaction

6. Ask one or two of the winners to come and explain their solutions
7. Comments on feature engineering choices

Part II: Resampling (with different datasets)

Download the Quarto markdown file for this lecture: