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Spotify decision tree classifier model with minimum split value of 100 to calculate the accuracy of affinity a user expresses towards a song from their Spotify data by using a like to dislike ratio comparison and specific attributes of each song such as valence, energy, instrumentalness, duration etc. This resulted in a 75.2% accuracy reading.
Subhanc/Spotify-Recommend
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Spotify decision tree classifier model with minimum split value of 100 to calculate the accuracy of affinity a user expresses towards a song from their Spotify data by using a like to dislike ratio comparison and specific attributes of each song such as valence, energy, instrumentalness, duration etc. This resulted in a 75.2% accuracy reading.
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