Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
Objectives: This study aims to explore the latent classes and characteristics of older adults’ intrinsic capacity and health-promoting lifestyle, and to investigate the associations between intrinsic ...
ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Now, this sort of thing isn’t rare when it comes to status quo reboots in superhero comics. It’s ...
1 School of Theology, University of Eastern Finland, Joensuu, Finland 2 Departament of Applied Economics, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain Introduction: ...
In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...
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