Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance

Table 3

Main classifiers used in the selected studies.

Algorithm	Average accuracy (%)	Study
Artificial neural network (ANN)	85.9	[17, 18, 22–25, 25, 26, 36, 39, 46, 56–58]
Decision tree (DT)	85	[29–31, 36, 41, 59]
Support vector machine (SVM)	83.4	[1, 16, 20, 27, 28, 40, 52]
K-nearest neighbor (KNN)	80.7	[32–35, 43, 50]
Naive Bayes (NB)	83	[3, 15, 19, 42, 49, 60]
Linear regression (LinR)	55.5	[37, 38, 44, 45, 47, 48, 51]