Deciding whether an e-mail is spam or not spam using labelled examples is:

  1. Unsupervised clustering
  2. Linear regression
  3. Supervised classification
  4. Smoothing
Answer

C) Supervised classification

The model learns from e-mails already labelled spam / not spam. SLO CS-11-D-01 · Understanding

Computer Science MCQ · More Unit 4: Data and Analysis MCQs · Practise