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 | 71 | Yes | Lawyer | 8 | High | 2 | Cat_6 | C | 1 |
Male | Yes | 43 | Yes | Executive | 1 | High | 4 | Cat_6 | B | 3 |
Female | No | 28 | Yes | Engineer | 1 | Low | 6 | Cat_2 | A | 5 |
Male | Yes | 71 | Yes | Artist | 0 | High | 2 | Cat_6 | B | 6 |
Male | null | 61 | Yes | Artist | 1 | Average | 5 | Cat_6 | C | 8 |
Male | Yes | 51 | Yes | Entertainment | 0 | Low | 3 | null | D | 9 |
Female | No | 26 | Yes | Marketing | 0 | Low | 2 | Cat_3 | A | 10 |
Male | Yes | 53 | Yes | Artist | 6 | Average | 2 | Cat_6 | C | 12 |
Male | Yes | 67 | Yes | Executive | 1 | Low | 2 | Cat_6 | A | 13 |
Male | Yes | 71 | Yes | Lawyer | 1 | High | 2 | Cat_6 | C | 14 |
Male | Yes | 76 | Yes | Lawyer | 0 | Low | 2 | Cat_6 | A | 15 |
Female | No | 52 | Yes | Artist | null | Low | 1 | Cat_6 | C | 16 |
Female | Yes | 58 | Yes | Artist | 0 | Average | 5 | Cat_6 | C | 17 |
Female | Yes | 31 | No | Engineer | 8 | Low | 2 | Cat_4 | C | 19 |
Female | No | 25 | Yes | Healthcare | 0 | Low | 1 | Cat_6 | D | 23 |
Male | Yes | 52 | Yes | Executive | 1 | High | 4 | Cat_6 | C | 24 |
Male | No | 31 | Yes | Healthcare | 0 | Low | 4 | Cat_6 | D | 27 |
Male | Yes | 49 | Yes | Artist | 1 | Low | 2 | Cat_3 | A | 28 |
Male | No | 32 | Yes | Artist | 1 | Low | 2 | Cat_6 | A | 30 |
Female | Yes | 46 | Yes | Marketing | null | High | 3 | Cat_6 | B | 31 |
Male | No | 19 | No | Healthcare | 0 | Low | 3 | Cat_6 | D | 32 |
Female | No | 29 | No | Homemaker | 0 | Low | 4 | Cat_4 | A | 34 |
Male | Yes | 36 | Yes | Artist | 0 | High | 3 | Cat_6 | C | 35 |
Male | Yes | 43 | Yes | Artist | 1 | Low | 2 | Cat_6 | B | 39 |
Female | Yes | 70 | Yes | Engineer | 0 | High | 2 | Cat_6 | B | 40 |
Male | No | 29 | Yes | Doctor | 1 | Low | 4 | Cat_6 | C | 41 |
Male | Yes | 40 | Yes | Artist | 1 | Average | 2 | Cat_4 | C | 42 |
Female | No | 33 | Yes | Engineer | null | Low | 5 | Cat_7 | D | 43 |
Male | Yes | 28 | Yes | Artist | 9 | Average | 2 | Cat_6 | A | 45 |
Female | Yes | 76 | Yes | Marketing | 0 | Low | 2 | Cat_6 | B | 46 |
Male | Yes | 73 | Yes | Executive | 1 | High | 2 | Cat_6 | B | 47 |
Male | Yes | 50 | Yes | Doctor | 1 | Low | 2 | Cat_6 | C | 48 |
Female | No | 49 | Yes | Engineer | 9 | Low | 1 | Cat_6 | A | 49 |
Male | Yes | 65 | Yes | Lawyer | 11 | High | 2 | Cat_6 | C | 50 |
Male | Yes | 57 | Yes | Artist | 1 | Average | 5 | Cat_6 | C | 51 |
Male | Yes | 59 | Yes | Executive | 1 | High | 5 | Cat_6 | C | 52 |
Female | No | 32 | Yes | Engineer | 0 | Low | 3 | Cat_6 | D | 55 |
Female | No | 19 | No | Healthcare | 0 | Low | 5 | Cat_2 | D | 56 |
Female | No | 86 | Yes | Lawyer | 1 | Low | 1 | Cat_6 | A | 58 |
Male | Yes | 52 | No | Entertainment | 1 | Average | 4 | Cat_3 | B | 61 |
Male | Yes | 53 | Yes | Artist | 3 | Average | 4 | Cat_6 | C | 62 |
Male | No | 25 | Yes | Healthcare | 0 | Low | null | Cat_4 | D | 63 |
Male | Yes | 61 | Yes | Entertainment | 11 | Average | 3 | Cat_6 | A | 64 |
Female | Yes | 45 | Yes | Artist | 8 | Average | 2 | null | B | 65 |
Female | Yes | 52 | Yes | Doctor | 1 | Low | 3 | Cat_4 | B | 66 |
Female | null | 33 | No | Healthcare | 2 | Low | 3 | Cat_2 | C | 68 |
Female | No | 40 | Yes | Artist | null | Low | 1 | Cat_2 | B | 69 |
Male | Yes | 25 | Yes | null | null | Low | null | Cat_7 | A | 70 |
Female | Yes | 86 | Yes | Lawyer | 1 | Low | 2 | Cat_6 | C | 72 |
Male | Yes | 53 | Yes | Artist | 1 | Average | 4 | Cat_6 | C | 77 |
Female | No | 37 | Yes | Doctor | 1 | Low | 1 | Cat_4 | A | 79 |
Male | Yes | 58 | Yes | Doctor | 0 | Average | 2 | Cat_6 | C | 82 |
Male | No | 28 | Yes | Doctor | 1 | Low | 9 | Cat_4 | B | 86 |
Male | Yes | 49 | Yes | Artist | 1 | Average | 3 | Cat_6 | C | 87 |
Male | No | 20 | No | Healthcare | 1 | Low | 5 | Cat_2 | D | 88 |
Male | null | 47 | null | Executive | 1 | Average | 5 | Cat_4 | B | 89 |
Male | Yes | 40 | Yes | Executive | null | High | 4 | Cat_6 | A | 92 |
Female | No | 30 | No | Healthcare | 0 | Low | 9 | Cat_6 | C | 93 |
Female | No | 39 | Yes | Entertainment | 7 | Low | 1 | Cat_6 | A | 94 |
Female | Yes | 47 | Yes | Artist | 0 | Low | 3 | Cat_6 | C | 95 |
Male | Yes | 53 | No | Executive | 0 | Average | 5 | Cat_4 | B | 98 |
Female | No | 22 | No | Healthcare | 1 | Low | 9 | Cat_4 | D | 99 |
Female | Yes | 78 | No | Lawyer | 1 | Low | 1 | Cat_5 | A | 100 |
Female | Yes | 47 | No | Engineer | 8 | Average | 5 | Cat_4 | B | 104 |
Female | Yes | 35 | No | Engineer | 0 | Average | 5 | Cat_4 | D | 106 |
Male | Yes | 50 | Yes | Artist | 0 | Low | 2 | Cat_6 | B | 107 |
Male | Yes | 47 | No | Executive | null | High | 4 | Cat_4 | B | 109 |
Female | No | 38 | Yes | Healthcare | 0 | Low | 2 | Cat_6 | C | 110 |
Male | null | 81 | No | Executive | null | High | 2 | Cat_4 | A | 114 |
Female | Yes | 49 | No | Engineer | 1 | Average | 4 | Cat_6 | A | 116 |
Male | Yes | 52 | Yes | Engineer | 1 | Average | 3 | Cat_4 | C | 117 |
Male | No | 32 | No | Healthcare | 8 | Low | 4 | null | C | 119 |
Female | Yes | 73 | Yes | Artist | null | Average | 3 | Cat_3 | C | 122 |
Female | Yes | 63 | Yes | Artist | 0 | Average | 3 | Cat_6 | C | 123 |
Male | No | 35 | Yes | Doctor | 0 | Low | 1 | Cat_6 | D | 124 |
Male | Yes | 46 | Yes | Artist | 0 | Average | 2 | Cat_6 | B | 126 |
Male | Yes | 45 | Yes | Entertainment | 4 | Average | 3 | Cat_2 | B | 129 |
Male | Yes | 56 | Yes | Executive | 0 | High | 1 | Cat_6 | B | 130 |
Male | Yes | 46 | No | Entertainment | 1 | High | 3 | Cat_6 | B | 133 |
Female | No | 28 | No | Healthcare | 0 | Low | 4 | Cat_6 | D | 134 |
Female | No | 20 | No | Doctor | 1 | Low | 6 | Cat_6 | D | 135 |
Female | No | 32 | Yes | Engineer | 0 | Low | 2 | Cat_6 | D | 137 |
Female | No | 51 | Yes | Artist | 0 | Low | 1 | Cat_3 | A | 138 |
Female | No | 41 | No | Engineer | 9 | Low | 1 | Cat_6 | A | 139 |
Male | Yes | 56 | No | Lawyer | 0 | High | 3 | Cat_3 | A | 140 |
Female | Yes | 43 | Yes | Artist | 0 | Average | 4 | Cat_6 | C | 141 |
Male | No | 27 | Yes | Healthcare | 1 | Low | 3 | Cat_6 | D | 144 |
Female | No | 22 | No | Marketing | 1 | Low | 2 | Cat_1 | D | 145 |
Female | No | 25 | No | Engineer | 1 | Low | 1 | Cat_4 | A | 151 |
Male | Yes | 86 | No | Executive | 0 | High | 2 | Cat_6 | A | 152 |
Female | No | 28 | Yes | Healthcare | null | Low | 5 | Cat_6 | B | 153 |
Male | Yes | 72 | Yes | Executive | 0 | High | 2 | Cat_6 | C | 154 |
Female | Yes | 49 | Yes | Artist | 0 | Average | 4 | Cat_6 | C | 156 |
Male | No | 53 | No | Engineer | 1 | Low | 3 | Cat_4 | A | 157 |
Female | No | 43 | Yes | Homemaker | 14 | Low | 1 | Cat_6 | D | 160 |
Male | No | 19 | No | Healthcare | 1 | Low | 4 | Cat_6 | D | 161 |
Female | Yes | 36 | No | Artist | 1 | Average | 4 | Cat_4 | B | 164 |
Female | Yes | 38 | No | Engineer | 1 | Low | 2 | Cat_4 | A | 165 |
Male | Yes | 35 | Yes | Artist | 1 | Average | 2 | Cat_6 | B | 170 |
Male | Yes | 36 | No | Doctor | 0 | Average | 2 | Cat_7 | A | 171 |
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