Modelo de aprendizaje automático para la clasificación y predicción del desempeño de los empleados del GAD Municipal de Girón.

Abstract

Abstract: The success of any organization depends on human resources, therefore, companies have implemented strategies that allow the evaluation of the performance and productivity of their staff. In the governmental context, public institutions such as the Decentralized Autonomous Governments (GAD) also evaluate the performance of officials. In this case, in the different areas of the Municipal GAD of Girón, it is done subjectively, since many vacancies are filled according to particular interests, without taking into account the necessary profile, nor the experience required for these positions and in accordance with the parameters established by the SIITH Human Talent Information System of the Ministry of Labor and the competency evaluation method without considering aspects such as adaptation to the position, level of satisfaction, training, specific knowledge and experience necessary to perform the position. This TT develops an automatic learning model for the classification and prediction of the performance of the employees of the Municipal GAD of Girón. As an added value, a visualization mechanism of the model results is implemented using dynamic dashboards.