GitHub - Subhanc/Spotify-Recommend: 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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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data		data
Spotify-EDA-DecisionTree.ipynb		Spotify-EDA-DecisionTree.ipynb
dec_tree_01.png		dec_tree_01.png

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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.