crowdAI

Spotify Sequential Skip Prediction Challenge

Predict if users will skip or listen to the music they're streamed

Challenge ended

686
Submissions

525
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25.1 k
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Train Schedule Optimisation Challenge

Optimizing train schedules

Challenge ended

209
Submissions

444
Participants

31.2 k
Views

zb hasn't authored any tutorials yet...

Spotify Sequential Skip Prediction Challenge | Ground truth | over 1 year ago

in the overview section, it’s stated that “For this challenge we use the skip_2 field of the session logs as our ground truth.”
Doing some EDA, there are plenty of rows whereby skip_2 is true, but eventually the not_skipped column is False, which is not a representation of whether or not a track was skipped. Shouldnt the not_skipped column be our target column? thanks!

Spotify Sequential Skip Prediction Challenge | Acoustic Vector | over 1 year ago

sorry! just saw the links in the pdf! thanks!

Spotify Sequential Skip Prediction Challenge | Acoustic Vector | over 1 year ago

HI! I would like to understand more as to why there are acoustic_vectors from 0 to 7? Thanks!

Train Schedule Optimisation Challenge | Resource Occupation IDs | over 1 year ago

@jordiju Hi! thanks for your quick reply and the clear explanation, I get it now.

Train Schedule Optimisation Challenge | Resource Occupation IDs | over 1 year ago

so does that mean if a train has 3 different resources, it also means that this train is on a physical track that is shared by other 3 different service intentions?

Train Schedule Optimisation Challenge | Resource Occupation IDs | over 1 year ago

Hi!

This might be a silly question, but I dont get it how each route section for the routes have different IDs for the resource occupations? Which one should be used for obtaining the release time required?

Thanks!

Apparently zb prefers to keep an air of mystery about them...