Music Taste Prediction

Music Taste Prediction

The assignment is about guessing the music taste of Andreas Lindholm,  a researcher in Uppsala who has prepared this challenge for us (thank you Andreas!). The task is described in instructions_wasp2020.pdf Download instructions_wasp2020.pdf

There are two phases in the task:

• Individual work:
  • The methods you will be using here are introduced as a part of one of the topics in the assignment Topic exploration part 1 so please make sure to coordinate your work in the group. Each member has to submit a personal solution, but you are welcome to collaborate by, for example, testing different methods. Handin this solution in Canvas. The group determines the internal deadline for this.
• Group Analysis and Competition:
  • The final part of this individual assignment is a group activity Music Taste Prediction Group Analysis. We are running this leaderboard, Links to an external site. where your group can submit guesses. You will need a password, which will be sent to you when the scoreboard opens for submissions, around October 16. Note the following limitations on the leaderboard. Only one submission per group and day is shown. If several submissions are submitted from the same group in the same day, only the latest one is shown. Submissions made today will be shown from tomorrow. This means that you will need to coordinate your work within the group. In a tie, the group with the least number of submissions wins. If yet a tie, the group with the earliest high-score submission wins.

You will need these files:

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

What to submit

See instructions pdf above