Section outline

◄Lecture 3: Some first imprecise classifiers
►Lecture 5: Ensemble learning

  • Dates: 02/12 (14h15 - 18h30), Vu-Linh Nguyen

    Objectives of the lecture:

    After this lecture students should be able to

    • describe commonly used notions of classifier calibration
    • describe a few calibration errors and calibration methods
    • describe commonly used notions of coverage
    • describe a few coverage metrics and conformal procedures
◄Lecture 3: Some first imprecise classifiers
►Lecture 5: Ensemble learning