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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	Yes	60	Yes	Entertainment	0	Low	2	Cat_3	A	516
Male	No	35	No	Doctor	1	Low	3	Cat_3	D	517
Male	No	33	No	Doctor	1	Low	6	Cat_4	A	518
Male	Yes	40	No	Entertainment	2	Average	5	Cat_2	B	520
Male	Yes	37	No	Executive	null	High	6	Cat_6	B	521
Female	No	33	Yes	Artist	3	Low	2	Cat_4	D	523
Female	Yes	29	Yes	Healthcare	8	Low	3	Cat_3	D	524
Male	Yes	65	Yes	Lawyer	0	Low	1	Cat_6	A	525
Male	No	37	Yes	Artist	8	Low	1	Cat_6	A	529
Male	Yes	55	Yes	Artist	9	Average	2	Cat_1	C	531
Male	Yes	68	No	Lawyer	null	High	null	Cat_6	D	532
Male	Yes	43	Yes	Doctor	3	Average	2	Cat_6	B	535
Female	No	63	Yes	Healthcare	3	Low	1	Cat_6	B	536
Female	No	28	No	Engineer	1	Low	2	Cat_4	D	538
Male	Yes	55	Yes	Entertainment	1	Low	2	Cat_6	A	539
Female	No	42	Yes	Entertainment	1	Low	1	Cat_6	D	540
Female	No	36	Yes	Engineer	7	Low	3	Cat_6	D	541
Male	Yes	69	Yes	Doctor	0	High	3	Cat_6	C	544
Female	No	38	Yes	Healthcare	0	Low	4	Cat_6	A	546
Female	No	40	Yes	Artist	2	Low	1	Cat_6	B	547
Male	Yes	46	Yes	Executive	null	High	4	Cat_3	B	548
Male	Yes	77	No	Lawyer	1	High	2	Cat_6	A	549
Female	Yes	80	No	Lawyer	1	High	2	Cat_6	D	551
Male	Yes	39	Yes	Healthcare	1	Low	3	Cat_3	D	553
Female	Yes	75	Yes	Lawyer	0	Low	1	Cat_6	B	554
Male	No	57	Yes	Marketing	1	Low	4	Cat_7	A	558
Female	No	20	No	Healthcare	8	Low	3	Cat_3	D	561
Female	No	30	No	Engineer	1	Low	null	Cat_4	A	562
Male	Yes	39	No	Artist	7	Average	3	Cat_6	C	563
Female	Yes	47	Yes	Doctor	1	Average	4	Cat_6	C	564
Female	No	40	Yes	Healthcare	8	Low	1	Cat_6	A	566
Male	Yes	46	Yes	Healthcare	1	High	3	Cat_6	C	570
Female	No	23	No	Healthcare	1	Low	3	Cat_3	D	572
Female	No	37	Yes	Artist	9	Low	1	Cat_6	A	574
Male	Yes	43	Yes	Entertainment	1	Average	4	Cat_4	B	576
Male	Yes	46	Yes	Artist	1	Low	3	Cat_6	B	578
Male	Yes	33	No	Engineer	0	Average	2	Cat_6	B	580
Female	No	29	No	Entertainment	0	Low	null	Cat_4	A	581
Male	Yes	42	Yes	Artist	0	Average	2	Cat_6	B	583
Male	Yes	71	No	Lawyer	1	Low	2	Cat_4	D	584
Female	Yes	27	Yes	Artist	0	Average	2	Cat_4	B	586
Male	Yes	46	Yes	Artist	null	Average	4	Cat_7	C	587
Female	No	46	Yes	Artist	6	Low	2	Cat_6	C	588
Female	No	48	Yes	Artist	6	Low	1	Cat_6	D	590
Male	Yes	40	No	Executive	0	Average	4	Cat_4	D	591
Male	No	37	Yes	Artist	12	Low	1	Cat_6	B	592
Male	No	20	No	Healthcare	1	Low	6	Cat_4	D	593
Male	Yes	65	Yes	Executive	0	Low	4	Cat_6	B	595
Male	Yes	73	No	Executive	1	High	2	Cat_4	D	596
Female	Yes	86	Yes	Lawyer	1	Low	2	Cat_6	B	597
Female	Yes	73	Yes	Lawyer	1	High	2	Cat_6	C	598
Male	No	25	Yes	Doctor	0	Low	2	Cat_6	D	600
Male	Yes	42	No	Entertainment	0	Average	4	Cat_4	A	603
Male	No	33	No	Entertainment	14	Low	1	Cat_6	D	608
Female	Yes	68	Yes	Artist	1	Average	2	Cat_6	C	609
Male	Yes	67	No	Lawyer	null	Low	null	Cat_6	D	613
Male	No	20	No	Healthcare	1	Low	5	Cat_6	D	615
Male	Yes	68	No	Executive	1	High	7	Cat_6	B	617
Male	Yes	66	No	Entertainment	1	High	2	Cat_6	A	618
Male	Yes	67	Yes	Lawyer	0	High	2	Cat_2	B	619
Male	Yes	33	Yes	Doctor	10	Average	2	Cat_2	D	620
Male	Yes	39	Yes	Entertainment	9	High	3	Cat_6	D	621
Male	No	83	Yes	Lawyer	0	Low	1	Cat_6	D	623
Male	Yes	78	Yes	Lawyer	0	High	5	Cat_6	B	626
Male	No	35	Yes	Artist	6	Low	3	Cat_6	B	629
Female	null	41	Yes	Healthcare	0	Low	1	Cat_4	A	630
Female	No	37	Yes	Entertainment	1	Low	1	Cat_6	A	632
Male	Yes	21	No	Healthcare	1	High	8	Cat_4	B	633
Male	No	32	No	Entertainment	1	Low	3	Cat_7	D	636
Female	Yes	47	Yes	Artist	0	Average	2	Cat_6	C	638
Female	No	23	No	Healthcare	1	Low	3	Cat_6	D	639
Male	No	18	No	Healthcare	0	Low	2	Cat_6	D	640
Female	No	25	No	Engineer	8	Low	3	Cat_6	D	642
Female	No	18	No	Healthcare	1	Low	5	Cat_6	D	643
Female	Yes	37	Yes	Artist	4	Low	4	Cat_5	B	644
Female	No	27	No	Engineer	0	Low	6	Cat_6	D	646
Female	No	27	Yes	Healthcare	0	Low	3	Cat_2	B	647
Male	No	25	Yes	Healthcare	1	Low	3	Cat_6	D	648
Male	Yes	49	Yes	Artist	1	Low	1	Cat_6	A	649
Male	Yes	46	No	Artist	0	Average	null	Cat_6	C	652
Male	Yes	52	Yes	Lawyer	8	High	2	Cat_6	C	653
Female	No	43	Yes	Doctor	0	Low	null	Cat_4	A	657
Female	Yes	46	Yes	Engineer	1	Low	1	Cat_6	D	659
Female	Yes	77	Yes	Lawyer	0	High	2	Cat_6	C	662
Female	No	19	No	Engineer	1	Low	4	Cat_6	D	663
Female	Yes	77	Yes	Lawyer	0	High	2	Cat_6	B	665
Female	Yes	48	Yes	Artist	1	Average	7	Cat_6	C	667
Female	No	35	Yes	Entertainment	9	Low	4	Cat_6	C	670
Male	Yes	40	Yes	Executive	null	High	3	Cat_6	C	671
Male	Yes	56	Yes	Entertainment	1	Average	3	Cat_6	B	672
Male	Yes	43	Yes	Executive	6	High	3	Cat_4	A	675
Female	No	41	Yes	Artist	10	Low	1	Cat_6	C	677
Female	Yes	48	No	Engineer	0	Average	5	null	C	678
Male	Yes	72	Yes	Marketing	0	Low	1	Cat_6	A	679
Female	No	28	Yes	Artist	9	Low	1	Cat_6	A	681
Male	Yes	67	Yes	Executive	1	Low	null	Cat_7	B	682
Female	No	52	Yes	Artist	9	Low	1	Cat_6	B	683
Female	No	50	Yes	Artist	0	Low	2	Cat_6	A	684
Male	No	27	No	Healthcare	10	Low	4	Cat_6	C	685
Male	No	40	Yes	Artist	8	Low	1	Cat_6	B	686