E-inclusion Prediction Modelling in Blended Learning Courses

Comparison of E-Inclusion Prediction Models in Blended Learning Courses

“…In this study, we decided to use the ensemble method -voting to provide improvement of prediction model performance (Kumari et al, 2018). In our previous study, we tested 5 classifiers Naive Bayes, SimpleLogistic, lazy.LWL, OneR, and LMT for three different blended learning courses (Vitolina, & Kapenieks, 2020). Our previous study has not shown that any of the classifiers perform best in all courses.…”