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Back to week 2 page: Link
If your post satsifies the requirements (1), (2), you will receive 0.5 points for the post.
📗 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.
If your post satisfies the requirements (1), (2), (3), one of the course staff will "like" your post and you will receive 0.5 points for the post. Remember to use the correct Piazza tag in d1 to d12.
The past exams can be found on pages X1, X2, X3, X4, X5, X6, X7, X8,
Back to week 2 page: Link
# D Discussion Topic
📗 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: Link| Requirement | Discussion | Note |
| Topic | see below | |
| Due Date | suggested: July 3 | no points after: July 16 |
| Max per Week | 2 | 1 per topic |
| Type of Post | Piazza follow-up | |
| Include | (1) Image or screenshot | |
| - | (2) Brief discussion or explanation | (one or two sentences) |
If your post satsifies the requirements (1), (2), you will receive 0.5 points for the post.
📗 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.
# D Sharing Solutions on Piazza
📗 Use the sign-up sheet: Google Sheet. You can sign up and post anonymously (anonymous Piazza posts are not anonymous to instructors).| Requirement | Past Exam Questions | Note |
| List of Questions | X2 | 2 |
| Due Date | suggested: July 3 | no points after: July 10 |
| Name of Post | X?Q? | |
| Max per Week | suggested: 2 | no points if more than 4 |
| Piazza Tag | d2 | |
| Type of Post | public Piazza note | |
| Include | (1) Screenshot of the question | |
| - | (2) Detailed step-by-step solution | |
| - | (3) Brief explanation of each step |
If your post satisfies the requirements (1), (2), (3), one of the course staff will "like" your post and you will receive 0.5 points for the post. Remember to use the correct Piazza tag in d1 to d12.
The past exams can be found on pages X1, X2, X3, X4, X5, X6, X7, X8,
Last Updated: April 29, 2024 at 1:11 AM