Imbalance Data Handling using Neighborhood Cleaning Rule (NCL) Sampling Method for Precision Student Modeling Abstract: Student modeling has an important role in every educational process. In general, ...

In this work, we propose to improve the classification accuracy in the case of imbalanced training data by equally balancing a training data set using a hybrid approach which consists in over-sampling ...

Thus, researchers must explore novel methods for solving the class imbalance at the data and/or algorithm level (Japkowicz and Stephen, 2002; Abd Elrahman and Abraham, 2013; Ali et al., 2013). At the ...