Midterm exam
English translation
Exam scope and review topics
- Rule-Based Decisions and Data — Labels, Features, and Decisions on New Inputs
- Feature Representations and Model Differences — Effects of Representation, Shifts, and Noise
- Measurement Data Shapes and Missing Value Handling — Samples, Fields, Missing Values, and Data Splitting
- Linear Regression and Prediction Error — Coefficients, MSE, and Prediction Range
- Effects of Outliers and Extrapolation — Changes in Some Observations and Model Limitations
- Logistic Regression and Error Costs — Logits, Thresholds, and Imbalanced Data