In this project, an analysis of surveys of young Nicaraguans was carried out using the following methodologies Artificial Intelligencewith the main objective of know and understand their migratory intention mediante la generación de perfiles de individuos formados en base a su arraigo y a diversos factores familiares, socioeconómicos, de percepción del entorno y de perspectiva de futuro. Así, conociendo los motivos principales que favorecen la migración de los jóvenes de Nicaragua, the definition of specific policies, strategies, interventions and actions for each profile will be facilitated that seek to prevent or reduce these migrations.
3 methodologies were followed: the first methodology consisted of the identification of respondent profiles and their statistical characterisation in order to group them on the basis of similar situations or realities:
In the second metholodogy, a predictive model of migration intentionality based on decision trees was developed to synthesise and predict in a simple way, in this case, the migration intention of a respondent with limited or reduced knowledge of their answers, where the winning prediction (green colour), the percentage of prediction and the percentage of respondents receiving the node are indicated:
The third methodology is a more complete, complex and advanced version of the second one, consisting of the generation of a Random Forest; an iterative model of decision trees processed using Machine Learning Techniques which makes it possible to predict migration intentionality based on the answers given in the questionnaire, which generates a ranking list of the survey variables based on their importance (explainability) to the modelThe aim of this study is to predict the migration intentionality of young people in Nicaragua:
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