A4.3 Machine learning approaches (HL only)
This subtopic covers predicting continuous outcomes (linear regression) and discrete (supervised classification: K-NN, decision trees, F1 score, tuning). It includes unsupervised clustering & association rules, reinforcement learning, genetic algorithms, and neural networks (ANNs, CNNs). Emphasises model selection and comparison. Updated 15/03/2026 Lesson starters for each lesson have been included. These starters...