Final exam

English translation

Week 15

Exam scope and review topics

• Decision Trees and Generalization — Depth and Train/Test Performance
• Comparison with Random Forest — Comparing the Same Split and Different Seeds
• Clustering and Feature Units — K, Inertia, and Standardization
• MLP and Baseline Models — Preprocessing Fitted Only on Train and Network Size
• Image Classification and Misclassifications — Connecting Images, Labels, and Probabilities
• Noisy Inputs and Model Validation — Interpret Prediction Changes under the Same Evaluation Conditions