Predictores de permanencia en el empleo basados en el heurístico de anclaje y ajuste
Francisco Javier Segura Mojica,
Mariana Karen Arana Bravo
Abstract:The objective of this work is to identify variables that affect the propensity of industrial workers to leave employment prematurely, and based on the above, to design a predictive model to estimate the probabilities probability that a candidate will remain at least one year. It uses as a frame of reference the
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