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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	29	Yes	Engineer	10	Low	1	Cat_6	D	356
Female	No	18	No	Healthcare	6	Low	3	Cat_6	D	357
Male	Yes	41	Yes	Artist	4	Low	4	Cat_6	A	360
Male	No	30	No	Healthcare	0	Low	4	Cat_6	C	363
Female	No	28	Yes	Doctor	1	Low	4	Cat_6	C	365
Male	Yes	60	Yes	Artist	1	Average	3	Cat_6	C	367
Female	No	49	Yes	Artist	0	Low	1	Cat_4	B	369
Female	Yes	38	Yes	Artist	1	Average	3	Cat_4	C	370
Female	No	22	No	Healthcare	0	Low	null	Cat_6	D	372
Female	Yes	50	Yes	Artist	1	Average	5	Cat_4	C	376
Female	Yes	47	Yes	Entertainment	3	Average	2	Cat_6	B	377
Male	Yes	51	Yes	Entertainment	0	Average	5	Cat_6	C	378
Male	Yes	67	Yes	Artist	1	Low	1	Cat_4	B	381
Female	No	35	Yes	Artist	1	Low	1	Cat_6	B	382
Male	Yes	75	No	Executive	0	Low	1	Cat_6	D	384
Female	Yes	43	Yes	Artist	4	Average	2	Cat_6	A	385
Male	Yes	35	Yes	Artist	10	High	2	Cat_6	B	387
Female	Yes	28	Yes	Artist	0	Low	1	Cat_5	A	388
Female	Yes	72	Yes	Lawyer	1	High	null	null	C	390
Male	Yes	35	Yes	Artist	8	Average	2	Cat_6	C	391
Male	Yes	36	Yes	Artist	7	Average	5	Cat_2	B	394
Male	Yes	53	No	Executive	0	Average	4	Cat_6	C	396
Female	No	31	No	Healthcare	1	Low	5	Cat_6	C	397
Female	Yes	67	Yes	null	1	Average	2	Cat_6	A	398
Female	Yes	41	Yes	Artist	1	High	4	Cat_2	C	399
Female	Yes	72	No	Lawyer	1	High	3	Cat_6	D	400
Female	Yes	74	No	Lawyer	1	High	2	Cat_6	C	401
Female	null	30	Yes	Doctor	0	Low	3	Cat_3	A	402
Female	Yes	45	Yes	Artist	null	High	null	Cat_6	B	406
Male	Yes	53	Yes	Artist	null	Average	3	Cat_6	A	408
Female	No	42	Yes	Marketing	null	Low	3	Cat_6	D	411
Male	Yes	53	Yes	Doctor	2	Average	3	Cat_6	C	413
Female	No	40	Yes	Doctor	7	Low	1	Cat_6	A	414
Male	No	38	Yes	Artist	1	Low	1	Cat_6	A	415
Male	Yes	66	Yes	Entertainment	0	Average	3	Cat_6	C	416
Male	Yes	37	Yes	Entertainment	3	Low	1	Cat_6	A	417
Female	Yes	36	No	Entertainment	8	Low	2	Cat_6	B	418
Male	Yes	84	Yes	Lawyer	0	Low	3	Cat_6	A	422
Male	Yes	57	Yes	Entertainment	0	Average	7	Cat_5	C	423
Female	Yes	76	Yes	Lawyer	5	High	3	Cat_6	A	424
Female	No	37	Yes	Artist	12	Low	2	Cat_6	A	426
Female	No	22	No	Healthcare	0	Low	2	Cat_6	D	427
Male	Yes	49	Yes	Artist	1	Low	2	Cat_6	C	432
Female	No	23	No	Engineer	1	Low	4	Cat_6	B	433
Male	No	32	Yes	Artist	13	Low	3	Cat_6	A	434
Male	Yes	72	Yes	Lawyer	1	Low	null	Cat_4	D	435
Male	Yes	69	Yes	Executive	1	Average	4	Cat_6	B	436
Female	No	27	No	Healthcare	0	Low	4	Cat_3	A	437
Male	Yes	22	No	Healthcare	1	Average	4	Cat_7	D	438
Female	No	29	Yes	Homemaker	null	Low	1	Cat_1	D	439
Female	Yes	87	Yes	Artist	0	Low	1	Cat_6	C	444
Male	Yes	43	No	Executive	1	High	3	Cat_4	A	445
Male	Yes	53	Yes	Doctor	1	Low	null	Cat_6	A	446
Female	No	42	Yes	Homemaker	7	Low	1	Cat_6	A	447
Male	No	22	No	Healthcare	0	Low	null	Cat_4	D	448
Male	Yes	45	Yes	Artist	null	Average	3	Cat_3	B	450
Male	Yes	50	No	Entertainment	0	Low	2	Cat_6	A	451
Female	Yes	42	No	Engineer	0	Low	4	Cat_4	D	452
Female	Yes	53	Yes	Artist	0	Average	3	Cat_6	C	453
Male	Yes	43	No	Healthcare	6	High	2	Cat_7	B	455
Female	Yes	46	No	Artist	5	Low	5	Cat_6	C	457
Male	Yes	36	Yes	Entertainment	5	Low	2	Cat_6	A	458
Male	Yes	61	Yes	Artist	1	Low	2	Cat_6	B	459
Female	Yes	66	Yes	Lawyer	0	High	3	Cat_6	C	462
Female	Yes	68	null	Lawyer	0	Low	1	Cat_6	A	463
Male	Yes	78	null	Lawyer	null	Low	null	Cat_3	C	464
Male	Yes	69	Yes	Artist	1	Low	2	Cat_6	B	466
Female	No	43	Yes	Engineer	1	Low	2	Cat_6	B	467
Female	No	32	Yes	Engineer	null	Low	9	Cat_4	D	468
Female	Yes	43	No	Engineer	null	Average	2	Cat_4	D	470
Male	No	32	No	Doctor	12	Low	4	Cat_6	D	471
Male	Yes	50	Yes	Artist	1	Average	3	Cat_6	C	472
Male	Yes	38	Yes	Engineer	0	Average	4	Cat_4	B	473
Female	No	32	No	Artist	1	Low	6	Cat_4	D	474
Male	Yes	45	No	Executive	1	High	3	Cat_6	C	475
Male	No	30	No	Entertainment	1	Low	2	Cat_4	D	476
Female	Yes	80	No	Lawyer	1	High	2	Cat_6	C	478
Male	Yes	63	Yes	Artist	1	Average	null	Cat_6	C	480
Male	Yes	43	Yes	Artist	1	Average	3	Cat_6	A	482
Female	No	33	No	Homemaker	9	Low	1	Cat_6	D	485
Male	Yes	36	Yes	Healthcare	3	Low	3	Cat_6	D	488
Female	No	28	No	Executive	0	Low	1	Cat_2	A	489
Female	No	26	No	Engineer	0	Low	1	Cat_2	A	490
Male	Yes	35	Yes	Doctor	9	High	3	Cat_6	A	492
Male	Yes	45	No	Marketing	1	Low	2	Cat_3	D	493
Female	Yes	63	Yes	Artist	1	Low	1	Cat_2	C	494
Male	Yes	82	Yes	Lawyer	1	High	2	Cat_6	A	495
Male	Yes	71	No	Lawyer	1	High	2	Cat_6	B	496
Male	No	21	No	Marketing	7	Low	3	Cat_6	B	498
Male	Yes	85	No	Lawyer	0	Low	1	Cat_4	D	499
Male	No	19	No	Healthcare	0	Low	5	Cat_4	D	502
Male	Yes	59	No	Doctor	0	Average	2	Cat_6	B	503
Female	No	43	Yes	Engineer	0	Low	1	Cat_3	A	504
Male	Yes	41	Yes	Artist	7	High	2	Cat_3	C	505
Female	No	22	No	Healthcare	4	Low	3	Cat_6	D	507
Female	No	32	No	null	0	Low	4	Cat_4	C	508
Female	Yes	38	Yes	Artist	1	Average	4	Cat_3	C	510
Male	No	33	No	Doctor	0	Low	3	Cat_6	B	511
Male	Yes	27	No	Entertainment	14	Average	2	Cat_6	A	514
Female	Yes	47	Yes	Artist	1	High	6	Cat_6	B	515