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

Author(s)	LIKOTELO BINENE Camile, MUKOKO MATONDO Pamela, MPEMBA NGOMA Luz, MAMANYA TAPASA Fernand
Country	Congo (Democratic)
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.
Keywords	Performance Analysis, Machine Learning, Classification Algorithm, Decision Tree, Confusion Matrix, Data mining, Data warehouse, Covid -19, Kimwenza, algorithm ID3
Field	Computer > Data / Information
Published In	Volume 5, Issue 3, May-June 2023
Published On	2023-06-02
Cite This	Analysis of Performances of Pupils in the High School of Kimwenza from a Data Warehouse Based on Data Mining from 2015 to 2021 - LIKOTELO BINENE Camile, MUKOKO MATONDO Pamela, MPEMBA NGOMA Luz, MAMANYA TAPASA Fernand - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3304
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.3304
Short DOI	https://doi.org/gr97tj

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