Spotify Music Tracks Classified by Commercial Popularity

A classification dataset for predicting the commercial success of music tracks on Spotify. The dataset likely contains audio features and metadata to categorize songs into High, Medium, or Low popularity tiers. It was sourced from Kaggle, but details on its creator, size, and specific features are not provided.

Use Cases

• Train a classifier to predict a track's popularity tier based on its audio features.
• Analyze the relationship between musical characteristics and commercial success.
• Build a recommendation system component that prioritizes high-popularity tracks.
• Benchmark feature importance for popularity prediction tasks.

Strengths

• Focuses on a clear, commercially relevant prediction task: popularity classification.
• Leverages data from a major, real-world music streaming platform.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal or genre bias inherent to the specific Kaggle source.

Provenance

Source

Kaggle

Collection Method

Likely gathered via the Spotify Web API, but method is unspecified.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null