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Repositorio para los proyectos de la asignatura Sistemas Inteligentes para la Gestión en la Empresa (Business Intilligence) del master profesional en ingeniería informática de la Universidad de Granada.
We explore three algorithms and their combinations to tackle this problem of imbalance in the given dataset. Those algorithms are Gradient Boosting, SMOTE and Tomek Links. Each one is discussed in its own section.
P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around it. The procedure, called MetaCost, treats the underlying classifier as a black box, requiring no knowledge of its functioning or change to it.