Accurate calculation of the commute cost is crucial for the government to decide whether housing subsidy will be provided to disadvantaged workers, or to create a new method that can reduce the commute cost of the disadvantaged workers by offering mass transit. Many studies have already proven...

This study presents two supervised multiclassification machine learning models to predict the poverty status of Costa Rican households as a way to support government and business sectors make decisions in a rapidly changing social and economic environment. Using the Costa Rican household dataset...