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Table 6 Probabilities and final decisions of predictive models (RF, LR, SVM, kNN, NB, NN)

From: Educational data mining: prediction of students' academic performance using machine learning algorithms

stdID RF SVM LR kNN NB NN final midterm faculty Department
st1 55–77.5 55–77.5 55–77.5 ≥ 77.5 55–77.5 55–77.5 55–77.5 < 32.5 Faculty of Education Computer Education and Instructional Technology
st2 55–77.5 ≥ 77.5 ≥ 77.5 55–77.5 55–77.5 55–77.5 55–77.5 32.5–55 Faculty of Education Social Sciences Teaching
st3 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 32.5–55 Faculty of Education Early Childhood Education
st4 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 ≥ 77.5 Faculty of Agriculture Garden Plants
st5 55–77.5 55–77.5 55–77.5 < 32.5 55–77.5 55–77.5 32.5–55 32.5–55 School of Physical Education and Sports Physical Education and Sports Teaching
st6 32.5–55 55–77.5 55–77.5 55–77.5 32.5–55 32.5–55 32.5–55 32.5–55 School of Physical Education and Sports Coaching Education
st7 55–77.5 55–77.5 ≥ 77.5 55–77.5 < 32.5 < 32.5 < 32.5 < 32.5 Faculty of Education Social Sciences Teaching
st8 55–77.5 55–77.5 55–77.5 ≥ 77.5 55–77.5 55–77.5 55–77.5 55–77.5 Faculty of Education Psychological Counseling and Guidance
st9 < 32.5 32.5–55 ≥ 77.5 < 32.5 < 32.5 32.5–55 ≥ 77.5 < 32.5 Faculty of Education Primary Education
st10 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 55–77.5 32.5–55 Faculty of Arts and Sciences Archaeology