Predictor of School Failure of students enrolled in junior high school and high school in the state education network of Mato Grosso do Sul

Development of parametric models, using statistical and data science techniques, such as machine learning, to estimate the probability of failure of students enrolled in junior high school and high school in the 2025 and 2026 school years. Variables from the dimensions of the student’s life will be incorporated, such as school, family, teachers, attendance, and evaluations.