From: Using learning analytics to develop early-warning system for at-risk students
No | Pre-processing method | Classification algorithm | Performance metric | Results | |
---|---|---|---|---|---|
Data Transformation | Feature Selection | ||||
1 | None | None | Naive Bayes Random Forest Support Vector Machines (SVM) Classification Tree Neural Network CN2 Rules kNN | Accuracy Sensitivity Specificity F-Measure | Table 4 |
2 | Equal frequency | None | Table 5 | ||
3 | Equal width | None | Table 6 | ||
4 | Equal width | Gain ratio | Table 7 | ||
5 | Equal width | Gini index | Table 8 | ||
6 | Equal width | SVM weights | Table 9 |