MLP Live session

This live session from the Machine Learning Practice course focuses on binary classification methods. The instructor begins by addressing administrative questions about assignments and viva dates, then moves to the main topic. Using the breast cancer dataset, they demonstrate logistic regression, explaining that despite its name, it is a classification algorithm that outputs probabilities via a sigmoid function. The discussion emphasizes the importance of evaluating model performance beyond accuracy, highlighting issues like class imbalance. The instructor introduces precision and recall, using the analogy of picking precious stones to illustrate the trade-off between being precise and not missing positives. They explain that F1 score, the harmonic mean of precision and recall, provides a balanced metric. The session includes interactive Q&A where students ask for clarifications on precision and recall, and the instructor corrects a mistake about the formula. The session ends with a brief mention of the perceptron model, but it is not fully covered.