Examinando por Autor "Romaña Peralta, Lady Nataly"
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- ÍtemModelo predictivo para la selección de docentes a través de un aprendizaje supervisado.Romaña Peralta, Lady Nataly; Saavedra Rodríguez, Mario GregorioIn this paper, the use of the Random Forest classifier is explored to generate a selection model for candidates who will complete the program offered by Enseña por Colombia. Random Forest is a powerful statistical classifier that is well established in other disciplines, but is relatively unknown in teacher selection. The main advantages of Random Forest algorithm are (1) a novel method to determine the importance of the variables; (2) ability to model complex interactions between predictor variables; (3) flexibility to perform various types of statistical data analysis, including regression, classification, unsupervised and supervised analysis(Cutler, 2007). In this research, the variables available in selecting teacher’s process for the interview phase of are used. The existing database from 2015 to 2018 of the selected participants is used.