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
|
|---|---|---|---|---|---|---|---|---|---|---|
Male | No | 61 | Yes | Lawyer | 1 | Low | 1 | Cat_6 | C | 7,545 |
Male | No | 18 | No | Healthcare | 5 | Low | 4 | Cat_2 | D | 7,548 |
Female | Yes | 48 | Yes | Doctor | 1 | Average | 6 | Cat_4 | B | 7,549 |
Male | No | 30 | No | Doctor | 1 | Low | 1 | Cat_3 | C | 7,550 |
Female | Yes | 25 | No | Engineer | 6 | Average | 8 | Cat_4 | D | 7,551 |
Male | No | 39 | Yes | Healthcare | 3 | Low | 2 | Cat_6 | D | 7,552 |
Male | No | 22 | No | Healthcare | 0 | Low | 5 | Cat_7 | D | 7,553 |
Male | Yes | 26 | No | Executive | 5 | High | 4 | Cat_6 | D | 7,554 |
Female | No | 18 | No | Healthcare | 1 | Low | 3 | Cat_6 | D | 7,555 |
Male | No | 39 | Yes | Entertainment | 3 | Low | 2 | Cat_1 | A | 7,556 |
Male | Yes | 36 | Yes | Entertainment | 2 | Average | 2 | Cat_3 | A | 7,558 |
Male | No | 58 | No | Healthcare | 4 | Low | 2 | Cat_6 | D | 7,559 |
Male | No | 26 | No | Healthcare | 0 | Low | 4 | Cat_4 | D | 7,560 |
Female | Yes | 43 | No | Engineer | 9 | Average | 4 | Cat_4 | A | 7,561 |
Female | Yes | 42 | Yes | Artist | 1 | Average | 2 | Cat_6 | C | 7,564 |
Female | Yes | 49 | Yes | Artist | 7 | Average | 4 | Cat_6 | B | 7,566 |
Female | Yes | 37 | Yes | Marketing | 9 | Low | 1 | Cat_6 | A | 7,567 |
Female | No | 23 | No | Marketing | 3 | Low | 3 | Cat_6 | C | 7,568 |
Female | No | 27 | Yes | Engineer | 4 | Low | 2 | Cat_6 | D | 7,570 |
Male | Yes | 57 | Yes | Artist | 1 | Average | 2 | Cat_6 | C | 7,571 |
Male | Yes | 55 | Yes | Artist | 0 | Average | 3 | Cat_6 | C | 7,572 |
Female | Yes | 52 | Yes | Artist | 0 | Average | 2 | Cat_6 | C | 7,574 |
Male | No | 39 | Yes | Artist | 9 | Low | 1 | Cat_6 | A | 7,575 |
Female | No | 31 | Yes | Healthcare | 9 | Low | 7 | Cat_5 | D | 7,576 |
Female | No | 23 | No | Healthcare | 9 | Low | 4 | Cat_4 | D | 7,578 |
Male | Yes | 29 | Yes | Doctor | 1 | Low | 3 | Cat_6 | D | 7,581 |
Male | No | 32 | Yes | Healthcare | 4 | Low | null | Cat_2 | D | 7,583 |
Male | Yes | 59 | Yes | Healthcare | 0 | Low | 3 | Cat_4 | D | 7,585 |
Male | null | 47 | Yes | Marketing | null | High | 2 | Cat_3 | D | 7,586 |
Female | No | 47 | Yes | Artist | 0 | Low | 1 | Cat_6 | B | 7,587 |
Male | Yes | 35 | No | Entertainment | 9 | Low | 3 | Cat_1 | A | 7,588 |
Male | Yes | 32 | Yes | Healthcare | 5 | Low | 2 | Cat_6 | D | 7,589 |
Male | Yes | 59 | Yes | Artist | 1 | Average | 2 | Cat_4 | B | 7,590 |
Female | null | 38 | Yes | Executive | 0 | High | 1 | Cat_3 | D | 7,591 |
Female | No | 40 | Yes | Entertainment | 5 | Low | 1 | Cat_3 | A | 7,592 |
Female | Yes | 73 | Yes | Doctor | 0 | Low | 1 | Cat_4 | B | 7,594 |
Male | Yes | 47 | Yes | Artist | 4 | Low | 1 | Cat_3 | A | 7,595 |
Female | No | 31 | Yes | Healthcare | 1 | Low | 7 | Cat_6 | A | 7,597 |
Male | Yes | 29 | Yes | Artist | 9 | Average | 2 | Cat_6 | B | 7,599 |
Female | No | 53 | Yes | Artist | 1 | Low | 1 | Cat_6 | B | 7,601 |
Male | No | 42 | Yes | Doctor | 8 | Low | 1 | Cat_2 | B | 7,603 |
Female | Yes | 39 | Yes | Healthcare | 8 | Average | 2 | Cat_6 | D | 7,604 |
Female | No | 41 | Yes | Marketing | 1 | Low | 2 | Cat_6 | A | 7,605 |
Female | No | 55 | No | Entertainment | 3 | Low | 1 | Cat_6 | A | 7,608 |
Female | No | 53 | No | Lawyer | 1 | Low | 1 | Cat_6 | D | 7,609 |
Male | Yes | 87 | Yes | Lawyer | 0 | Low | 1 | Cat_6 | D | 7,610 |
Male | No | 29 | No | Engineer | 0 | Low | 5 | Cat_3 | A | 7,611 |
Male | Yes | 61 | Yes | Entertainment | 9 | Average | 2 | Cat_6 | C | 7,612 |
Female | No | 32 | No | Healthcare | 12 | Low | 3 | Cat_6 | A | 7,615 |
Female | No | 43 | No | Artist | null | Low | 1 | Cat_6 | B | 7,616 |
Male | No | 27 | Yes | Healthcare | 1 | Low | 5 | Cat_6 | D | 7,617 |
Male | No | 32 | Yes | Engineer | 0 | Low | 3 | Cat_4 | B | 7,618 |
Male | No | 30 | No | Healthcare | 8 | Low | 3 | Cat_6 | A | 7,620 |
Female | No | 28 | No | Homemaker | 10 | Low | 1 | Cat_6 | D | 7,621 |
Female | Yes | 63 | Yes | Artist | 0 | Average | 2 | Cat_6 | C | 7,623 |
Female | Yes | 85 | Yes | Lawyer | 0 | Low | 1 | Cat_3 | D | 7,624 |
Male | Yes | 39 | No | Entertainment | 1 | Average | 4 | Cat_4 | A | 7,625 |
Female | Yes | 41 | Yes | Artist | 9 | Low | 1 | Cat_6 | C | 7,627 |
Female | Yes | 33 | Yes | Artist | 1 | Average | 2 | Cat_6 | C | 7,628 |
Female | Yes | 23 | No | Healthcare | 7 | High | 2 | Cat_6 | B | 7,629 |
Male | Yes | 52 | Yes | Entertainment | 0 | Low | 4 | Cat_4 | B | 7,630 |
Male | Yes | 50 | Yes | Executive | 9 | High | 3 | Cat_2 | C | 7,631 |
Male | Yes | 40 | Yes | Entertainment | 1 | Average | 2 | Cat_3 | C | 7,632 |
Male | No | 25 | Yes | Artist | null | Low | 1 | Cat_6 | D | 7,633 |
Male | No | 25 | Yes | Healthcare | 0 | Low | 1 | Cat_6 | D | 7,634 |
Male | Yes | 57 | Yes | Entertainment | null | Low | null | Cat_3 | C | 7,635 |
Male | Yes | 36 | No | Entertainment | 9 | Average | 2 | Cat_6 | B | 7,636 |
Female | Yes | 39 | Yes | Healthcare | 4 | Low | 2 | Cat_6 | A | 7,637 |
Male | Yes | 41 | Yes | Artist | 0 | High | 3 | Cat_6 | C | 7,638 |
Male | Yes | 56 | Yes | Lawyer | null | Low | 3 | Cat_1 | D | 7,639 |
Male | Yes | 50 | Yes | Entertainment | 0 | Average | 2 | Cat_3 | C | 7,640 |
Male | Yes | 43 | Yes | Executive | null | High | 4 | Cat_6 | B | 7,642 |
Female | No | 35 | Yes | Engineer | 4 | Low | 1 | Cat_6 | A | 7,645 |
Female | Yes | 47 | Yes | Artist | 1 | Average | 2 | Cat_7 | C | 7,646 |
Male | Yes | 49 | Yes | Artist | 1 | Average | 3 | Cat_6 | B | 7,648 |
Male | Yes | 27 | Yes | Doctor | 9 | Average | 2 | Cat_6 | A | 7,649 |
Male | Yes | 69 | Yes | Entertainment | 1 | High | 3 | Cat_6 | B | 7,650 |
Female | Yes | 31 | No | Marketing | 0 | Low | 2 | Cat_2 | D | 7,651 |
Female | null | 27 | Yes | Healthcare | 1 | Low | 6 | Cat_6 | C | 7,652 |
Female | Yes | 60 | Yes | Engineer | 4 | Average | 4 | Cat_2 | B | 7,653 |
Male | No | 35 | Yes | Entertainment | 13 | Low | 2 | Cat_4 | C | 7,654 |
Female | No | 30 | No | Engineer | 0 | Low | 3 | Cat_6 | B | 7,655 |
Female | Yes | 77 | Yes | Lawyer | 0 | High | 2 | Cat_6 | C | 7,656 |
Female | No | 41 | Yes | Artist | 9 | Low | 1 | Cat_6 | B | 7,657 |
Male | Yes | 41 | Yes | Executive | null | High | 4 | Cat_4 | B | 7,658 |
Male | Yes | 80 | No | Lawyer | null | High | 2 | Cat_6 | C | 7,661 |
Female | Yes | 40 | Yes | Doctor | 0 | Low | 1 | Cat_2 | A | 7,663 |
Female | Yes | 66 | No | Lawyer | null | High | 2 | Cat_6 | A | 7,670 |
Male | Yes | 84 | Yes | Lawyer | null | High | 3 | Cat_6 | B | 7,671 |
Male | Yes | 57 | Yes | Executive | 7 | High | 2 | Cat_6 | C | 7,672 |
Male | Yes | 60 | No | Entertainment | null | Low | 2 | Cat_3 | A | 7,673 |
Female | Yes | 55 | Yes | Artist | 6 | Low | null | Cat_6 | C | 7,675 |
Female | No | 31 | No | Doctor | 0 | Low | 4 | Cat_3 | D | 7,676 |
Male | No | 48 | Yes | Entertainment | 0 | Low | 3 | Cat_6 | A | 7,677 |
Female | Yes | 20 | Yes | Lawyer | 1 | Average | 3 | Cat_3 | A | 7,678 |
Male | No | 26 | Yes | Healthcare | 0 | Low | 3 | Cat_6 | B | 7,679 |
Male | Yes | 53 | Yes | Artist | 0 | High | 3 | Cat_6 | C | 7,680 |
Male | Yes | 39 | Yes | Executive | 1 | High | 3 | Cat_3 | B | 7,681 |
Female | No | 40 | Yes | Entertainment | 0 | Low | 1 | Cat_3 | A | 7,682 |
Female | Yes | 45 | Yes | Artist | null | Average | 2 | Cat_6 | A | 7,683 |
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