====== 12 Classifiers I ======
Basics about classifiers and teaching them.

===== Quiz for bonus points =====

  * Linear Classification: find linear equations' values for separating classes on a 2D plane.
  * 0.5 points
  * submit your solution to [[https://cw.felk.cvut.cz/brute/|BRUTE]] **lab12quiz** by May 10, midnight
  * format: text file, photo of your solution on paper, pdf - what is convenient for you
  * solution will be discussed on the next lab
  * quiz assignment: [Students with their family name starting from A to L (included) have to solve and upload {{ :courses:be5b33kui:labs:weekly:LinearClassification_A_2021.pdf |subject A}} , while students with family name from M to Z have to solve and upload {{ :courses:be5b33kui:labs:weekly:LinearClassification_B_2021.pdf |subject B}}]


===== Quiz II / Solving together during interactive lab =====

Use confusion matrices to determine which image classifier is better - safer or leads to less unnecessary stops of the car ({{:courses:be5b33kui:labs:weekly:classifiers_2021.pdf |see pdf}}).

> {{page>courses:be5b33kui:internal:quizzes#Classifiers - recall and precision}}

===== Assignment ===== 

Work on the [[courses:be5b33kui:labs:machine_learning:start|machine learning]] assignment.