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

Table 8

Accuracy results for K-nearest neighbor.

Study	Year	Predictive features	Accuracy (%)
[32]	2017	Gender, age, knowledge score, skill score, CGPA, group heterogeneity, and label class	95.5
[33]	2017	School, gender, address, family size, parent status, parent job, guardian, support, activities, nursery, internet, and romantic relationship	93
[50]	2018	Parent income, semester, family members, and CGPA	95.8
[34]	2019	Nationality, gender, place of birth, parent responsibility, stages, grades, SectionID, topic, attendance, semester, raised hand, visited resource, discussion, and parent satisfaction	69
[35]	2019	Gender, age, school, address, parent status, parent education, parent job, family size, guardian, travel time, and study time	88
[43]	2020	Absence, virtual learning access, voting system result, presentation result, and personal report result	74