Evaluating the performance of personality-based profiling in predicting physical activity.

ABSTRACT:

Background

Profiling or clustering individuals based on personality and other characteristics is a common statistical approach used in marketing, medicine, and social sciences. This approach improves data simplicity, supports the implementation of a data-driven decision-making process, and guides intervention strategies, such as personalized care. However, the clustering process involves loss of information owing to the discretization of continuous variables. Although any loss of information may be practically or pragmatically acceptable, the amount of information lost and its influence on predicting external outcomes have not yet been systematically investigated.

Methods

We assessed the accuracy of predicting physical activity using the clustering approach and compared it w

SUBMITTER: Katahira K 

PROVIDER: S-EPMC11657304 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature