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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
Male	No	23	No	Healthcare	1	Low	4	Cat_6	D	688
Female	No	21	No	Healthcare	0	Low	2	Cat_4	D	689
Male	No	38	Yes	Entertainment	1	Low	2	Cat_2	D	690
Male	Yes	35	Yes	Artist	5	Average	2	Cat_6	C	691
Male	No	40	Yes	Artist	1	Low	4	Cat_3	A	692
Male	Yes	25	Yes	Artist	8	Average	2	Cat_6	B	697
Male	No	50	Yes	Artist	1	Low	1	Cat_2	B	699
Female	Yes	38	No	Engineer	1	High	5	Cat_6	B	703
Female	No	47	No	Engineer	null	Low	null	Cat_6	A	705
Male	No	26	No	Healthcare	0	Low	7	Cat_6	A	706
Male	Yes	47	Yes	Artist	0	Average	6	Cat_7	B	707
Female	Yes	60	Yes	Doctor	6	Average	2	Cat_6	C	708
Male	Yes	72	Yes	Entertainment	7	Low	2	Cat_6	A	709
Male	No	45	Yes	Artist	0	Low	1	Cat_6	A	712
Male	Yes	37	Yes	Entertainment	8	Average	2	Cat_6	C	713
Female	No	30	Yes	Doctor	0	Low	5	Cat_7	C	715
Female	Yes	25	No	Entertainment	2	Low	2	Cat_6	D	719
Female	No	53	Yes	Engineer	0	Low	1	Cat_6	D	725
Female	No	26	No	Engineer	0	Low	3	Cat_6	D	726
Male	Yes	48	Yes	Artist	null	Low	6	Cat_6	B	729
Female	No	30	No	Healthcare	0	Low	null	Cat_6	D	730
Male	No	22	No	Healthcare	1	Low	2	Cat_4	D	734
Female	No	27	Yes	Engineer	9	Low	7	Cat_3	C	738
Male	Yes	41	Yes	Entertainment	0	Average	4	Cat_6	B	739
Male	No	33	No	Entertainment	1	Low	null	Cat_6	D	740
Female	Yes	60	No	Engineer	1	Average	5	Cat_4	B	742
Male	No	43	Yes	Artist	1	Low	3	Cat_6	B	743
Female	No	30	Yes	Entertainment	9	Low	3	Cat_6	D	745
Female	No	21	No	Healthcare	1	Low	5	Cat_4	D	746
Female	Yes	60	No	Entertainment	9	Low	4	Cat_3	B	748
Male	No	47	Yes	null	0	Low	1	Cat_6	B	749
Male	Yes	38	No	Executive	1	Average	5	Cat_2	B	750
Male	Yes	39	Yes	Entertainment	9	Average	2	Cat_6	B	752
Male	Yes	40	Yes	Artist	14	Low	2	Cat_6	C	753
Male	Yes	55	Yes	Entertainment	0	Average	4	Cat_6	C	756
Male	Yes	35	Yes	Executive	4	High	4	Cat_6	C	759
Male	No	31	No	Marketing	4	Low	1	Cat_3	D	760
Female	No	25	No	Engineer	5	Low	3	Cat_4	B	762
Male	Yes	58	Yes	Artist	7	Low	2	Cat_6	B	763
Female	No	42	Yes	Homemaker	10	Low	1	Cat_6	A	766
Male	Yes	69	No	Entertainment	0	Low	5	Cat_3	A	768
Male	No	25	No	Doctor	2	Low	null	Cat_4	D	769
Male	Yes	50	Yes	Doctor	null	Average	4	Cat_3	C	771
Male	Yes	38	No	Executive	1	High	4	Cat_6	D	772
Female	No	56	Yes	Artist	0	Low	2	Cat_6	C	773
Female	Yes	40	No	Artist	3	Average	null	Cat_6	A	774
Female	Yes	42	No	Doctor	1	Low	1	Cat_6	A	776
Female	Yes	47	Yes	Lawyer	2	High	4	Cat_6	D	777
Female	No	22	No	Healthcare	8	Low	4	Cat_6	D	778
Female	No	29	No	Marketing	8	Low	4	Cat_6	D	779
Female	No	20	No	Healthcare	1	Low	3	Cat_6	D	781
Female	No	27	Yes	Engineer	11	Low	1	Cat_6	B	782
Male	No	31	Yes	Healthcare	9	Low	3	Cat_7	D	784
Female	null	25	Yes	Homemaker	null	Low	1	Cat_6	D	786
Female	No	41	Yes	Healthcare	1	Low	1	Cat_6	D	789
Female	Yes	51	Yes	Engineer	1	Average	2	Cat_6	C	790
Female	No	28	No	Healthcare	1	Low	4	Cat_6	B	791
Female	Yes	53	Yes	Executive	0	High	4	Cat_6	C	792
Male	Yes	70	Yes	Artist	0	High	2	Cat_6	C	793
Male	Yes	35	Yes	Artist	null	Average	4	Cat_6	C	794
Male	Yes	45	No	Artist	0	Low	2	Cat_4	B	795
Female	No	25	No	Healthcare	0	Low	null	Cat_6	D	798
Male	Yes	27	Yes	Entertainment	9	Low	4	Cat_6	C	799
Male	Yes	61	Yes	Artist	0	Low	2	Cat_6	B	800
Female	Yes	53	No	Engineer	3	Low	1	Cat_6	A	801
Female	No	19	No	Healthcare	5	Low	5	Cat_2	D	802
Male	Yes	74	Yes	Lawyer	null	High	2	Cat_6	C	805
Male	No	33	Yes	Doctor	9	Low	6	Cat_4	D	806
Male	Yes	40	Yes	Artist	1	Low	2	Cat_6	A	807
Male	Yes	52	Yes	Healthcare	1	Low	2	Cat_6	D	808
Female	No	32	No	Engineer	9	Low	4	Cat_5	A	810
Female	Yes	66	Yes	Artist	0	High	3	Cat_6	B	811
Male	Yes	31	Yes	Artist	null	Average	2	Cat_2	B	812
Male	Yes	57	Yes	Artist	0	Average	4	Cat_6	B	814
Female	null	49	No	Marketing	1	Average	3	Cat_4	A	815
Male	Yes	43	Yes	Engineer	5	High	2	Cat_3	A	816
Male	Yes	75	Yes	Lawyer	2	Low	1	Cat_6	D	819
Female	No	43	Yes	Engineer	0	Low	4	Cat_6	D	820
Female	Yes	82	No	Lawyer	0	Low	1	Cat_6	A	821
Male	Yes	32	Yes	Entertainment	9	High	2	Cat_4	A	822
Male	No	42	Yes	Entertainment	1	Low	1	Cat_7	A	824
Male	Yes	49	No	Executive	11	High	4	Cat_6	A	825
Female	Yes	28	Yes	Engineer	0	Low	2	Cat_6	A	826
Female	No	36	No	Engineer	0	Low	1	Cat_6	A	829
Male	Yes	41	Yes	Artist	1	Average	2	Cat_6	C	831
Female	No	36	Yes	Artist	5	Low	2	Cat_6	B	832
Female	Yes	36	No	Engineer	1	Low	3	Cat_4	A	833
Male	No	18	No	Entertainment	1	Low	4	Cat_6	D	835
Male	Yes	46	No	Executive	6	High	6	Cat_6	C	836
Female	No	40	Yes	Engineer	0	Low	1	Cat_6	A	837
Male	Yes	50	No	Artist	1	Average	5	Cat_4	B	838
Female	Yes	62	Yes	Doctor	4	Average	3	Cat_6	B	840
Male	Yes	41	Yes	Artist	0	Low	2	Cat_6	A	845
Female	Yes	45	Yes	Artist	1	Average	4	Cat_7	C	846
Female	Yes	50	No	Engineer	0	Low	3	Cat_7	B	847
Male	Yes	25	Yes	Artist	9	Low	4	Cat_6	D	848
Female	No	63	Yes	Doctor	0	Low	2	Cat_6	B	849
Male	No	76	Yes	Lawyer	0	Low	2	Cat_6	A	850
Female	Yes	43	Yes	null	1	Low	2	Cat_6	D	852
Male	No	47	No	Artist	1	Low	null	Cat_4	A	854