Skip to main content

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