Unit 2 Self-check Quiz
Answer in your own words, then reveal the model answer. This practice is optional.
1. Differentiate supervised and unsupervised learning.
Supervised learning uses labelled target examples; unsupervised learning seeks structure in data without target labels.
2. What is the difference between classification and regression?
Classification predicts categories, while regression predicts continuous numerical values.
3. Define accuracy, precision and recall.
Accuracy is the fraction of all predictions that are correct. Precision is the fraction of predicted positives that are truly positive. Recall is the fraction of actual positives that the model correctly finds.