Table 1 Database specifications.

From: Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection

Identifier

Title

Type

I1

Study Location

Nominal Discrete

I2

Sexuality

Nominal Discrete

I3

Age (in years)

Continuous Numeric

I4

Status of Residential

Nominal Discrete

I5

Family Individuals

Discrete Numeric

I6

State of Parents’ Living (Divorce Status)

Nominal Discrete

I7

Level of Education (Mother)

Ordinal Nominal

I8

Level of Education (Father)

Ordinal Nominal

I9

State of Employment for Mother

Nominal Discrete

I10

State of Employment for Father

Nominal Discrete

I11

Justification for Selecting the Study Location

Nominal Discrete

I12

Guardian of the Student

Nominal Discrete

I13

Time Distance from Residence to Place of Study

Continuous Numeric

I14

Duration of Study per Week

Continuous Numeric

I15

Average of the obtained Grades in the Last Semester

Continuous Numeric

I16

Receiving a Scholarship

Nominal Discrete

I17

Receiving Funding Assistance from Parents

Nominal Discrete

I18

Attendance at Extra Classes

Nominal Discrete

I19

Taking Part in Other Extracurricular Events

Nominal Discrete

I20

History of Scientific Contest Attendance

Nominal Discrete

I21

Willingness for Continued Education

Nominal Discrete

I22

Access to Internet at Home

Nominal Discrete

I23

Status of Emotional Relationships

Nominal Discrete

I24

Relationship Quality with Family Members

Ordinal Nominal

I25

After Classes, Idle Time

Continuous Numeric

I26

Communication with Fellow Students Outside of the Place of Study

Nominal Discrete

I27

Drinking Alcohol Throughout the Workweek

Nominal Discrete

I28

Drinking Alcohol Throughout the Weekends

Nominal Discrete

I29

Present Health State

Ordinal Nominal

I30

Days being Absent in Classes

Continuous Numeric

-

Average Final Grades of the Student

Continuous Numeric