Table 2 Demographic characteristics of participants.

From: Predicting visual aesthetic preferences in Tehran city universities campuses using machine learning techniques

Characteristics

Number and percentage of each characteristic in participants

Age

 < 20 years

20—25 years

 > 25 to < 30

30—35 years

 > 35

160 \((\% 40.61)\)

180 (\(\% 45.69\))

36 (\(\% 9.14\))

11 (\(\% 2.79\))

7 (\(\% 1.78\))

Gender

Female: 220 (\(\% 55.84\))

Male: 174 (\(\% 44.16\))

Education level

Undergraduate students: 308 (\(\% 78.17\))

graduate students: 86 (\(\% 21.83\))

Residence

Family home: 244 (\(\% 61.93\))

Dorm: 146 (\(\% 37.06\))

Student housing: 4 (\(\% 1.02)\)

Back to article page