Prediction

This study utilized PCA and K-means clustering to identify four distinct country clusters based on climate and energy consumption, revealing temperature as a key differentiator—particularly for cold, high-energy northern nations—while suggesting that finer clustering could shift focus toward socioeconomic factors like GDP.

This study developed machine learning models to predict employee attrition and monthly income, identifying job satisfaction and job level as key factors, respectively, while highlighting the potential of such techniques to inform corporate decision-making.

Predicting Unemployment with Demographic and Labor Force Characteristics