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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	Yes	50	Yes	Healthcare	1	High	6	Cat_5	C	7,688
Male	Yes	25	Yes	Doctor	1	Low	2	Cat_6	C	7,691
Female	Yes	55	Yes	Artist	1	High	4	Cat_6	B	7,695
Male	No	29	Yes	Artist	null	Low	2	Cat_6	B	7,697
Male	Yes	71	No	Executive	1	High	null	Cat_1	A	7,698
Male	Yes	40	Yes	Doctor	0	Average	5	Cat_6	B	7,700
Male	Yes	56	No	Artist	1	Average	2	Cat_6	C	7,701
Male	No	53	Yes	Artist	0	Low	1	Cat_6	A	7,702
Female	No	19	No	Healthcare	0	Low	3	Cat_6	D	7,703
Male	No	26	No	Doctor	6	Low	2	Cat_6	D	7,705
Male	Yes	65	Yes	Entertainment	3	Low	3	Cat_6	C	7,706
Female	Yes	49	Yes	Artist	6	Low	2	Cat_6	C	7,707
Male	Yes	38	Yes	Engineer	null	Average	4	Cat_6	B	7,708
Male	No	42	Yes	Artist	11	Low	2	Cat_6	C	7,709
Male	No	18	No	Healthcare	2	Low	3	Cat_6	D	7,710
Male	No	29	Yes	Artist	null	Low	3	Cat_6	D	7,711
Male	null	23	No	Healthcare	8	High	5	Cat_6	D	7,713
Female	No	32	No	Doctor	8	Low	6	Cat_6	C	7,714
Female	Yes	79	No	Lawyer	1	High	3	Cat_6	A	7,717
Male	No	38	Yes	Entertainment	null	Low	4	Cat_6	D	7,718
Male	No	55	Yes	Executive	null	Low	5	Cat_6	C	7,721
Female	Yes	60	Yes	Artist	0	Low	1	Cat_6	B	7,723
Female	Yes	50	No	Engineer	1	Average	4	Cat_6	B	7,724
Male	No	18	No	Doctor	0	Low	6	Cat_4	D	7,725
Male	Yes	46	Yes	Artist	1	Average	3	Cat_6	C	7,727
Female	Yes	38	Yes	Artist	7	Average	3	Cat_4	B	7,729
Female	No	31	Yes	Artist	1	Low	4	Cat_6	D	7,731
Male	Yes	25	Yes	Healthcare	8	Low	2	Cat_6	D	7,732
Male	No	18	No	Healthcare	6	Low	4	Cat_4	D	7,735
Male	Yes	45	No	Executive	1	Average	4	Cat_6	B	7,736
Male	Yes	29	No	Executive	1	Average	3	Cat_6	D	7,738
Male	Yes	70	No	Lawyer	null	Low	1	Cat_6	A	7,739
Female	Yes	41	Yes	Artist	1	High	2	Cat_6	B	7,740
Female	No	39	Yes	Artist	9	Low	1	Cat_6	A	7,741
Female	No	51	Yes	Artist	8	Low	1	Cat_6	C	7,742
Female	No	38	No	Entertainment	8	Low	2	Cat_6	B	7,743
Female	Yes	60	Yes	Artist	1	High	2	Cat_6	C	7,745
Female	Yes	50	Yes	Artist	1	High	5	Cat_6	C	7,747
Female	No	28	Yes	Engineer	0	Low	3	Cat_6	D	7,748
Male	No	20	No	Healthcare	0	Low	3	Cat_2	D	7,750
Female	Yes	35	Yes	Artist	9	Average	4	Cat_6	B	7,751
Male	No	28	No	Doctor	0	Low	4	Cat_3	D	7,752
Male	No	43	Yes	Artist	1	Low	1	Cat_3	A	7,757
Female	No	40	No	Doctor	14	Low	6	Cat_7	D	7,758
Male	Yes	52	Yes	Artist	0	Low	4	Cat_6	C	7,760
Female	Yes	25	Yes	Engineer	6	Average	2	Cat_6	A	7,762
Female	No	18	No	Healthcare	7	Low	6	Cat_6	D	7,763
Male	Yes	49	Yes	Artist	1	Average	4	Cat_6	C	7,764
Female	Yes	50	Yes	Artist	null	High	4	Cat_6	C	7,766
Male	Yes	43	No	Marketing	3	High	4	Cat_4	A	7,767
Female	No	30	No	Doctor	3	Low	4	Cat_6	A	7,769
Male	Yes	47	No	Entertainment	0	Average	3	Cat_6	C	7,771
Male	Yes	73	No	Executive	1	High	2	Cat_6	B	7,772
Male	Yes	42	Yes	Artist	0	Average	3	Cat_3	C	7,773
Male	Yes	30	Yes	Healthcare	8	Low	2	Cat_6	C	7,775
Male	Yes	32	No	Marketing	4	Low	3	Cat_6	D	7,778
Female	Yes	57	Yes	Artist	null	Low	1	Cat_6	B	7,781
Female	No	37	Yes	Artist	0	Low	2	Cat_6	C	7,782
Male	Yes	47	Yes	Artist	0	Average	3	Cat_6	C	7,783
Female	No	29	Yes	Homemaker	13	Low	1	Cat_6	A	7,784
Female	No	18	No	Healthcare	0	Low	4	Cat_4	D	7,785
Male	No	22	No	Healthcare	8	Low	5	Cat_2	D	7,786
Female	No	28	Yes	Homemaker	11	Low	1	null	D	7,787
Female	Yes	67	Yes	Artist	0	High	2	Cat_6	C	7,788
Male	Yes	45	No	Entertainment	10	Average	4	Cat_6	B	7,790
Female	No	26	Yes	Healthcare	null	Low	1	Cat_6	D	7,792
Female	Yes	49	Yes	Artist	1	Average	2	Cat_6	C	7,793
Female	No	42	No	Doctor	8	Low	1	Cat_3	A	7,794
Female	Yes	53	Yes	Artist	null	Average	3	Cat_6	C	7,799
Male	No	18	No	Healthcare	0	Low	7	Cat_3	D	7,800
Female	Yes	48	Yes	Artist	1	Low	1	Cat_4	A	7,801
Female	Yes	61	Yes	Engineer	0	Average	2	Cat_6	C	7,804
Female	Yes	57	Yes	Artist	2	High	3	Cat_6	C	7,806
Male	No	33	Yes	Healthcare	1	Low	null	Cat_6	A	7,808
Male	No	39	Yes	Artist	0	Low	1	Cat_6	A	7,811
Female	No	39	Yes	Homemaker	1	Low	6	Cat_6	A	7,814
Female	No	31	Yes	Homemaker	8	Low	1	Cat_6	D	7,815
Male	No	39	Yes	Doctor	4	Low	3	Cat_6	C	7,816
Male	Yes	73	No	Lawyer	0	Low	2	Cat_6	D	7,818
Male	No	21	No	Healthcare	2	Low	4	Cat_6	D	7,819
Female	Yes	89	No	Lawyer	1	High	2	Cat_6	A	7,820
Male	Yes	41	Yes	Engineer	null	Average	5	Cat_6	C	7,824
Male	No	29	Yes	Doctor	3	Low	3	Cat_4	A	7,826
Female	Yes	49	Yes	Artist	1	Low	1	Cat_6	C	7,827
Female	Yes	88	Yes	Lawyer	0	Low	1	Cat_6	D	7,828
Female	No	32	No	Healthcare	8	Low	4	Cat_6	D	7,832
Male	Yes	45	Yes	Executive	0	High	4	Cat_6	B	7,835
Male	Yes	53	Yes	Healthcare	null	High	2	Cat_6	D	7,836
Female	Yes	53	Yes	Artist	4	Average	5	Cat_6	C	7,838
Male	Yes	56	Yes	Artist	0	Average	3	Cat_4	C	7,839
Male	Yes	66	Yes	Executive	0	High	2	Cat_6	C	7,840
Male	No	30	Yes	Healthcare	1	Low	4	Cat_6	D	7,841
Female	Yes	51	Yes	Artist	6	Average	5	Cat_6	C	7,843
Female	Yes	67	Yes	Entertainment	1	Low	null	Cat_6	A	7,844
Male	Yes	37	Yes	Artist	4	Average	2	Cat_6	C	7,847
Male	Yes	51	Yes	Artist	8	Low	3	Cat_2	A	7,848
Male	No	19	No	Healthcare	0	Low	3	Cat_6	D	7,849
Female	No	40	Yes	Artist	5	Low	9	Cat_6	C	7,852
Female	Yes	35	No	Entertainment	10	Low	2	Cat_3	A	7,854
Female	Yes	51	Yes	Doctor	1	Average	4	Cat_6	B	7,855