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FeatEng
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Subset (103)

abisheksudarshan__customer-segmentation · 8.07k rows

Split (2)

train · 4.82k rows

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	No	37	Yes	Artist	8	Low	2	Cat_6	C	1,013
Male	No	26	No	Entertainment	0	Low	2	Cat_6	A	1,015
Male	No	26	Yes	Healthcare	5	Low	5	Cat_6	D	1,016
Male	Yes	49	Yes	Artist	1	Average	4	Cat_6	C	1,018
Female	No	42	Yes	Artist	0	Low	3	Cat_6	C	1,020
Male	Yes	66	Yes	Artist	1	High	2	Cat_6	C	1,021
Male	No	40	Yes	Artist	9	Low	3	Cat_6	A	1,023
Male	Yes	56	No	Executive	1	High	8	Cat_4	A	1,024
Male	Yes	40	Yes	null	3	Low	1	Cat_6	D	1,027
Female	No	30	No	Healthcare	null	Low	null	null	C	1,028
Male	Yes	83	No	Lawyer	0	High	3	Cat_3	D	1,030
Male	null	60	No	Engineer	0	Average	3	Cat_4	A	1,034
Female	No	32	Yes	Healthcare	9	Low	3	Cat_6	D	1,035
Male	No	19	No	Healthcare	8	Low	3	Cat_6	D	1,039
Male	No	33	Yes	Artist	1	Low	null	Cat_4	D	1,040
Female	No	61	Yes	Entertainment	3	Low	1	Cat_6	A	1,041
Male	null	48	Yes	Executive	null	High	5	Cat_6	B	1,043
Male	Yes	55	Yes	Artist	1	Low	3	Cat_3	A	1,044
Male	Yes	30	No	Engineer	3	Average	3	Cat_4	D	1,045
Female	Yes	40	Yes	Engineer	0	Average	2	Cat_6	C	1,046
Male	No	35	Yes	Artist	0	Low	1	Cat_6	B	1,047
Female	No	42	Yes	Engineer	6	Low	1	Cat_6	A	1,048
Male	Yes	41	Yes	Entertainment	9	Average	4	null	A	1,049
Female	No	32	Yes	Healthcare	0	Low	3	Cat_4	A	1,051
Male	No	28	Yes	Healthcare	5	Low	4	Cat_6	C	1,052
Male	Yes	58	No	Executive	1	High	5	Cat_6	B	1,053
Male	No	32	Yes	Healthcare	2	Low	3	Cat_6	C	1,054
Male	Yes	68	No	Lawyer	0	Low	2	Cat_6	D	1,057
Male	Yes	37	No	Entertainment	2	Low	3	Cat_6	A	1,058
Female	No	23	No	Healthcare	null	Low	4	Cat_6	D	1,059
Male	Yes	60	No	Executive	0	High	2	Cat_6	C	1,061
Male	Yes	74	Yes	Lawyer	0	High	3	Cat_6	D	1,063
Male	No	33	Yes	Artist	1	Low	2	Cat_6	C	1,066
Male	Yes	58	Yes	Artist	9	Low	1	Cat_6	B	1,068
Female	No	28	No	Healthcare	3	Low	2	Cat_6	A	1,069
Male	No	25	Yes	Artist	1	Low	3	Cat_6	A	1,071
Male	Yes	67	Yes	Artist	0	Low	1	Cat_3	B	1,073
Male	No	22	No	null	null	Low	6	Cat_1	D	1,074
Male	Yes	52	Yes	Healthcare	0	Average	4	Cat_6	C	1,075
Female	Yes	52	Yes	Doctor	0	Average	2	Cat_6	C	1,079
Female	No	41	Yes	Artist	4	Low	1	Cat_6	D	1,080
Male	Yes	42	No	Entertainment	0	Average	4	Cat_4	B	1,081
Male	Yes	55	Yes	Artist	null	Average	3	Cat_4	A	1,082
Male	Yes	39	No	Entertainment	1	Average	4	Cat_4	B	1,085
Female	No	31	No	Healthcare	1	Low	3	Cat_6	D	1,088
Male	Yes	25	Yes	Executive	8	High	2	Cat_6	A	1,089
Male	Yes	36	Yes	Artist	0	Average	2	Cat_6	C	1,090
Female	Yes	78	Yes	Lawyer	6	Low	1	Cat_4	A	1,091
Male	Yes	62	No	Artist	0	Average	3	Cat_6	C	1,092
Male	Yes	56	No	Executive	null	High	2	Cat_6	A	1,093
Male	Yes	48	Yes	Artist	0	Low	2	Cat_6	C	1,095
Female	No	39	No	Healthcare	4	Low	3	Cat_6	D	1,097
Female	Yes	27	Yes	Doctor	1	Low	2	Cat_4	D	1,100
Female	Yes	36	Yes	Artist	7	Average	2	Cat_6	C	1,102
Male	Yes	38	No	Artist	8	High	5	Cat_6	A	1,103
Male	No	29	null	Entertainment	8	Low	9	Cat_6	A	1,105
Male	Yes	40	No	null	null	Average	5	Cat_3	B	1,106
Female	No	43	No	null	null	Low	null	Cat_6	A	1,107
Female	Yes	70	Yes	Doctor	0	Average	2	Cat_6	C	1,108
Female	Yes	43	Yes	Healthcare	0	Average	2	Cat_3	A	1,110
Female	Yes	84	No	Lawyer	0	High	2	Cat_6	B	1,114
Female	No	35	Yes	Engineer	4	Low	4	Cat_2	C	1,115
Male	Yes	45	Yes	Artist	1	Low	4	Cat_3	B	1,116
Male	Yes	28	Yes	Doctor	0	Low	9	Cat_4	D	1,117
Male	No	69	Yes	Marketing	8	Low	null	Cat_6	A	1,118
Female	No	26	Yes	Healthcare	1	Low	5	Cat_4	C	1,119
Female	No	27	Yes	Healthcare	1	Low	2	Cat_6	D	1,120
Male	Yes	82	Yes	Executive	0	High	2	Cat_6	C	1,122
Female	Yes	75	Yes	Lawyer	1	High	2	Cat_6	B	1,123
Male	Yes	45	Yes	Artist	2	Average	3	Cat_3	D	1,126
Male	Yes	41	Yes	Artist	0	Low	2	Cat_6	B	1,128
Female	No	41	Yes	Entertainment	1	Low	null	Cat_6	D	1,131
Male	No	31	Yes	Doctor	1	Low	2	Cat_6	A	1,136
Male	No	25	Yes	Healthcare	9	Low	4	Cat_4	C	1,137
Male	Yes	66	Yes	Entertainment	0	Average	2	Cat_6	B	1,138
Male	Yes	66	Yes	Marketing	1	High	2	Cat_6	B	1,139
Female	Yes	35	Yes	Homemaker	13	High	7	Cat_6	C	1,141
Female	Yes	74	Yes	Lawyer	1	Low	1	Cat_6	C	1,143
Male	No	26	Yes	Engineer	1	Low	3	Cat_3	D	1,144
Male	No	37	Yes	Doctor	0	Low	3	null	A	1,145
Male	Yes	50	Yes	Artist	0	Low	3	Cat_6	B	1,146
Female	No	22	null	Healthcare	3	Low	4	Cat_5	D	1,149
Female	No	41	Yes	Artist	0	Low	1	Cat_6	A	1,151
Female	Yes	42	Yes	Artist	null	Low	null	Cat_4	B	1,152
Male	Yes	85	No	Lawyer	1	Low	1	Cat_6	D	1,153
Male	Yes	35	No	Artist	9	Average	3	Cat_6	B	1,157
Female	Yes	66	No	Engineer	6	Average	4	Cat_5	B	1,159
Male	Yes	30	No	Doctor	11	Average	2	Cat_3	A	1,160
Male	Yes	51	Yes	Doctor	1	High	2	Cat_3	C	1,167
Female	No	18	No	null	0	Low	6	Cat_6	D	1,168
Female	Yes	40	Yes	Artist	12	Average	null	Cat_6	C	1,169
Female	Yes	56	No	null	null	Average	3	Cat_4	D	1,170
Male	Yes	37	Yes	Entertainment	0	Average	3	Cat_6	C	1,174
Female	No	41	Yes	Artist	1	Low	1	Cat_6	C	1,175
Female	Yes	63	Yes	Marketing	2	Low	1	Cat_6	D	1,176
Male	No	28	No	Healthcare	0	Low	9	Cat_6	D	1,178
Female	Yes	36	No	Engineer	0	Low	3	Cat_2	B	1,179
Male	Yes	57	Yes	Entertainment	0	Low	2	Cat_6	A	1,180
Female	No	33	Yes	Doctor	0	Low	5	Cat_6	C	1,181
Female	No	32	No	Homemaker	9	Low	5	Cat_3	D	1,182