Analysis of Performances of Pupils in the High School of Kimwenza from a Data Warehouse Based on Data mining from 2015 to 2021

Abstract

In this article, we analyze the performance of students in the eighth year of basic education before, during, and after COVID-19 at Kimwenza High School from 2015 to 2021. The machine learning model used is the algorithm classification of the decision tree with the ID3 algorithm. The confusion matrix helps us to predict in the short term these results in the future years.