spotify_75

<p>This dataset contains data on musical tastes in Spotify considering only
the 75 most listened-to artists from the dataset <code>spotify_original</code>.
Details about such artists are available in Davila-Pena et al. (2024)
(Section 6.2, Table 11).</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_75 function

<p>A dataframe with 1226 rows (users) and 76 columns, one corresponding to the index number
(first column, <code>X</code>) and the remaining 75 corresponding to different artists.</p>

spotify_75: Spotify 75 Dataset

Description

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Examples