Aims: This study evaluated the effectiveness of supervised machine learning algorithms for early diabetes risk classification using demographic, behavioural, cardiovascular, and general health-related indicators. It also examined the variables most strongly associated with diabet...
Open access
Research Article10.9734/jerr/2026/v28i71940
Background: Employee attrition is a critical organizational issue that affects productivity, operational efficiency, and workforce stability, making employee retention an important strategic priority. Advances in machine learning have enabled organizations to analyze complex work...
Open access
Research Article10.9734/jerr/2026/v28i61932
Background: Online streaming platforms generate vast amounts of user interaction data, and recommendation systems use clustering and machine learning techniques to analyze this data and deliver personalized movie suggestions. Aims: Movie recommendation platforms collect a large a...
Open access
Research Article10.9734/jerr/2026/v28i61909
Background: Accurate house price prediction is important for supporting real estate valuation, investment planning, banking decisions, and urban development through data-driven analysis of complex housing factors. Aims: The aim of this study is to compare the predictive performan...
Open access
Research Article10.9734/jerr/2026/v28i51905
Background: The airline industry produces large amounts of operational and customer-service data connected with passenger travel experience, operational efficiency, and service quality. Passenger satisfaction has become an important indicator of airline competitiveness because cu...
Open access
Research Article10.9734/jerr/2026/v28i51907