A comparative study of classifier ensembles for detecting inactive learner in university
A comparative study of classifier ensembles for detecting inactive learner in university is a scholarly work, published in 2018 in ''International Journal of Data Analysis Techniques and Strategies''. The main subjects of the publication include classifier, educational data mining, random forest, precision and recall, decision tree learning, artificial intelligence, computer science, ensemble learning, decision tree, logistic regression model, machine learning, and fuzzy logic. The paper is devoted to benchmark ensemble of weak classifiers (decision tree, random forest, logistic regression, and CART) against single classifier models to predict inactive student.