spotify_original

<p>This dataset contains data on musical tastes in Spotify from the <code>last.fm</code> dataset. It informs
about which users have listened to which artists. Refer to the source for details.</p>

datasets

Understanding how features influence a specific response variable becomes crucial in classification problems, with applications ranging from medical diagnosis to customer behavior analysis.
This packages provides tools to compute such an influence measure grounded on game theory concepts.
In particular, the influence measures presented in Davila-Pena, Saavedra-Nieves, and Casas-Méndez (2024) <doi:10.48550/arXiv.2408.02481> can be obtained.

Laura Davila-Pena

GTbasedIM

Game Theory-Based Influence Measures

spotify_original function

<p>A dataframe with 1226 rows (users) and 286 columns, one corresponding to the index number
(first column, <code>X</code>) and the remaining 285 corresponding to different artists.</p>

spotify_original: Spotify Original Dataset

Description

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Examples