Table 2 Optimal feature set selected by three feature selection techniques.

From: Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution

Optimal feature set – Portuguese dataset

Optimal feature set – mathematics dataset

Methods

Optimal features

Methods

Optimal features

Chi-square

Medu, Fedu, Mjob, Fjob, failures, Dalc, Walc, absences, G1, G2.

Chi-square

Romantic, Schoolsup, Mjob, Fjob, failures, Dalc, Walc, absences, G1, G2.

Information gain

Age, Medu, Fedu, freetime, internet, romantic, Fjob, Mjob, gout, Dalc, Walc, health, absences, G1, G2.

Information gain

sex, age, Medu, Fedu, freetime, internet, studytime, Fjob, Mjob, gout, Dalc, Walc, absences, G1, G2.

Correlation heat map

G2, G1, failures, studytime, Dalc, address, higher, Fedu, Medu, Walc, Fjob, Mjob.

Correlation heat map

G2, G1, failures, traveltime, goout, age, higher, Fedu, Medu, romantic, Fjob, Mjob.