Early Student Dropout Prediction Using Machine Learning
Student dropout is a significant issue in higher education, affecting both students and institutions. Early identification of at-risk students can help universities improve retention. This study addresses student dropout prediction as a binary classification problem using 4,424 student records. To support realistic ear...