In this article, we analyze the relationships that connect graduates from high school, the trainingsystem and employment rates and conditions in the Italian regions between 2004 and 2022. The dataused refer to the Istat Bes database. The results show that the growth in the number of high schoolgraduates is positively associated with higher university education and employment with theexception of job satisfaction. Subsequently we also present a clusterization with k-Means algorithmconfronting the Silhouette Coefficient with the Elbow Method. Finally, we confront seven differentmachine-learning algorithms for the prediction of the level of graduated from high school. We alsopresent economic policy suggestions to increase schooling in the Italian regions. The results arecritically discussed
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Arnone et al. (2024) studied this question.
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