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 ...
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 ...
The output variable must be either continuous nature or real value. The output variable has to be a discrete value. The regression algorithm’s task is mapping input value (x) with continuous output ...
ABSTRACT: This research delves into the hurdles and strategies aimed at augmenting the market involvement of smallholder carrot farmers in Nakuru County, Kenya. Employing a Multinomial Logit (MNL) ...
aDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA bDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA ...
Paper aims This paper addresses the influence of socioeconomic, quality, built environment, and safety variables on the demand for public transportation service. Originality This study covers a ...
ABSTRACT: With the development of economic globalization and financial liberalization, credit assessment plays an important role in maintaining the normal relationship of social economy. Personal ...
Abstract: In the present medical era, Electrocardiography has been used to record heart activities for the basic visualization of various cardiac diseases. ECG signal properties analysis for effective ...
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