Tuning Data Mining Models to Predict Secondary School Academic Performance
William Hoyos,
Isaac Caicedo-Castro
Abstract:In recent years, educational data mining has emerged as a growing discipline focused on developing models for predicting academic performance. The primary objective of this research was to tune classification models to predict academic performance in secondary school. The dataset employed for this study encompassed information from 19,545 high school students. We used descriptive statistics to characterise information contained in personal, school, and socioeconomic variables. We implemented two data mining te… Show more
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