Lab 1 - Competition: Music taste prediction

Instructions

Here are the instructions for the assignment Download instructions for the assignment. This is an individual task, but you are allowed to cooperate if you want to. However, your hand-in must be written by you personally, and plagiarizing other persons' hand-ins is not allowed.

We provide lab_song_classification.ipynb Links to an external site. as a simple example of how to get started.

Or if you prefer to handle things on your own you have the files:

• knn-example.py Download knn-example.py
• training_data.csv Download training_data.csv
• songs_to_classify.csv Download songs_to_classify.csv
• readme.txt Download readme.txt

Send in your prediction (a string of 200 numbers, 0 or 1, e.g., 01010010110101000...) to the scoreboard server Links to an external site..

Deadline for report/presentation and code: 2023-10-01

If your report/presentation or code is not approved, you will be granted only one additional opportunity to revise and resubmit it. The final deadline for resubmission of the report/presentation and code is 2023-10-22.

Mandatory peer review ("kamratgranskning")

Do not submit your peer review as a "new attempt"---use the built-in system in Canvas to submit your peer review.

You need to peer review two other Lab 1 hand-ins which you will be assigned via Canvas.

A good peer review should comment on the following:

• Does the hand-in contain a presentation or report, and the code needed to reproduce the findings?
• Has data been properly investigated and handled?
• Has a reasonable selection of features been done, and motivated?
• Has a reasonable choice of modeling method(s) been done?
• Are choices of parameters described and motivated?
• Has the performance of each method been properly evaluated?

Your peer review must contain detailed motivations. I.e., only leaving yes/no answers (or similar) to the questions above is not acceptable and will lead to a failing grade on your peer review. 

Deadline for peer reviews: 2023-10-08

If your peer review is not approved, you will be granted only one additional opportunity to revise and resubmit it. The final deadline for resubmission of the peer reviews is 2023-10-22.