📗 The quizzes must be completed during the lectures. No Canvas submissions are required. The grades will be updated by the end of the week on Canvas. Alternative ways to get the points are listed below in the D3 sections.

📗 Please submit a regrade request if (i) you missed a few questions because you are late or have to leave during the lecture; (ii) you selected obviously incorrect answers by mistake (one or two of these shouldn't affect your grade): Link

📗 Use the sign-up sheet: Google Sheet. You can sign up and post anonymously (anonymous Piazza posts are not anonymous to instructors).

📗 Please create a follow-up discussion post on the Piazza (it is okay to post anonymously). No Canvas submissions are required. The grades will be updated at the end of the week on Canvas.

📗 Find or draw a decision tree. The decision tree can be created based on a dataset or a flow chart for a task or just a meme. Share an image on Piazza, and explain whether it is a regression tree, a classification tree, or neither. Also write down the output variable and list some of the input features.

📗 A regression tree is a decision tree that has continuous-valued labels, i.e. \(y \in \mathbb{R}\). A classification tree has discrete-valued labels, i.e. \(y \in \left\{1, 2, ...\right\}\).

📗 A tree that is neither a regression tree or a classification tree can be one describing a extensive form game (single-person or multiple-players). Technically, these are not decision trees and we will talk about game theory near the end of the semester, for now, you can read its Wikipedia page: Link.