This is like having two different “weather apps” for grades. Both look at a student’s past behavior and background (attendance, homework, test scores, etc.) and try to forecast how well they will do in the future. The paper compares which forecasting engine—XGBoost or Random Forest—does a better job at predicting students’ academic performance.
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Executive brief, technical architecture, and market positioning for this use case.
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Executive brief, technical architecture, and market positioning for this use case.
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Executive brief, technical architecture, and market positioning for this use case.