Gender
stringclasses 2
values | Ever_Married
stringclasses 2
values | Age
int64 18
89
| Graduated
stringclasses 2
values | Profession
stringclasses 9
values | Work_Experience
float64 0
14
⌀ | Spending_Score
stringclasses 3
values | Family_Size
float64 1
9
⌀ | Var_1
stringclasses 7
values | __FeatEng_target__
stringclasses 4
values | __index_level_0__
int64 1
8.06k
|
|---|---|---|---|---|---|---|---|---|---|---|
Female | Yes | 53 | Yes | Artist | 1 | Average | 3 | Cat_6 | C | 8,030 |
Female | No | 40 | Yes | Engineer | 6 | Low | 3 | Cat_6 | D | 8,031 |
Female | No | 42 | Yes | Artist | 13 | Low | 1 | Cat_6 | C | 8,034 |
Female | No | 33 | Yes | Healthcare | 1 | Low | 3 | Cat_6 | D | 8,035 |
Female | Yes | 56 | Yes | Artist | 0 | Average | 5 | Cat_6 | B | 8,036 |
Male | No | 22 | No | Healthcare | 1 | Low | 4 | Cat_4 | D | 8,039 |
Male | Yes | 48 | Yes | Doctor | 5 | Average | 3 | Cat_5 | B | 8,040 |
Male | No | 19 | No | Healthcare | 1 | Low | 7 | Cat_4 | D | 8,041 |
Female | Yes | 60 | Yes | Artist | 1 | Average | 2 | Cat_6 | C | 8,042 |
Male | Yes | 55 | Yes | Homemaker | 1 | Average | 4 | Cat_6 | C | 8,043 |
Female | No | 28 | No | Entertainment | 1 | Low | 2 | Cat_3 | A | 8,046 |
Female | Yes | 57 | Yes | Artist | null | High | 3 | Cat_6 | C | 8,048 |
Female | No | 40 | Yes | Homemaker | 9 | Low | 1 | Cat_6 | D | 8,049 |
Female | No | 49 | Yes | Homemaker | 0 | Low | null | Cat_6 | C | 8,050 |
Male | Yes | 42 | Yes | Artist | 0 | High | 2 | Cat_6 | B | 8,051 |
Male | Yes | 65 | Yes | Executive | 0 | High | 4 | Cat_6 | C | 8,053 |
Female | Yes | 39 | No | Engineer | 1 | Average | 4 | Cat_4 | B | 8,054 |
Male | Yes | 65 | Yes | Artist | 0 | Average | 2 | Cat_6 | C | 8,055 |
Male | Yes | 41 | Yes | Artist | 8 | Average | 3 | Cat_6 | A | 8,057 |