International Journal of Educational Technology in Higher Education

Table 5 Most frequently used AI algorithms and their accuracy rates (%)

From: Artificial intelligence applications in Latin American higher education: a systematic review

Study ID	DT	J48	KNN	LR	MLP	NB	RF	SVM
[1]					66
[3]		91.67
[4]		62.7				61.34
[6]	55		55		61			66.24
[10]	90			88			91
[14]					81.5
[15]		69.9					73.5
[17]							84.9	85.2
[18]					94.4
[20]	72				73
[21]	83.92			84.02			84.11
[23]	82.19		83.93	83.45		79.14	88	83.97
[24]					74.5
[25]	99.38		99.29		98.67	95.59	98.55
[28]					90
[31]					90.28

Note. Text in bold indicates the highest accuracy level for each study
DT Decision Tree, KNN k-nearest neighbors, LR logistic regression, ML machine learning, MLP-ANN Multilayer Perceptron Artificial Neural Network, NB Naïve Bayes, RF Random Forest, SVM Support Vector Machines

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