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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	19	No	Healthcare	2	Low	4	Cat_6	D	176
Male	Yes	43	No	Artist	7	High	4	Cat_6	B	179
Male	Yes	38	Yes	Healthcare	1	High	4	Cat_3	D	180
Female	No	32	Yes	Artist	7	Low	3	Cat_6	A	181
Female	Yes	81	Yes	Lawyer	0	Average	2	Cat_6	A	182
Female	No	53	Yes	Artist	1	Low	null	Cat_7	D	185
Female	Yes	62	Yes	Artist	3	Low	2	Cat_6	C	187
Male	No	18	No	Artist	null	Low	4	Cat_4	D	188
Female	No	46	No	Doctor	0	Low	2	Cat_6	B	190
Male	No	21	No	Healthcare	0	Low	4	Cat_3	D	193
Female	Yes	41	Yes	Entertainment	9	Low	1	Cat_7	D	194
Male	Yes	42	Yes	Artist	2	Average	2	Cat_6	C	196
Female	No	32	No	Homemaker	9	Low	1	Cat_6	D	198
Male	Yes	62	Yes	Entertainment	0	Average	4	Cat_6	B	199
Male	No	27	No	Doctor	7	Low	3	Cat_6	C	204
Female	No	19	No	Healthcare	1	Low	5	Cat_3	D	205
Male	Yes	89	No	Lawyer	0	Low	null	Cat_6	A	206
Male	No	25	No	Executive	3	Low	1	Cat_4	A	207
Male	No	25	No	Healthcare	7	Low	4	Cat_4	D	210
Female	No	49	Yes	Doctor	null	Low	2	Cat_6	D	211
Male	Yes	84	Yes	Lawyer	null	High	2	Cat_6	A	214
Female	No	28	Yes	Entertainment	0	Low	3	Cat_6	D	216
Male	Yes	66	Yes	Artist	1	Low	3	Cat_6	A	217
Female	Yes	50	Yes	Artist	1	Average	3	Cat_6	B	218
Female	No	36	No	Artist	0	Low	1	Cat_5	B	219
Male	Yes	36	Yes	Artist	0	Average	2	Cat_7	C	220
Male	Yes	27	No	Entertainment	3	Average	2	Cat_6	B	221
Male	Yes	42	Yes	Artist	1	Average	3	Cat_6	C	226
Male	Yes	63	null	null	null	Average	2	Cat_4	D	227
Female	No	31	Yes	Healthcare	9	Low	3	Cat_3	D	229
Male	No	27	No	Entertainment	null	Low	1	Cat_6	D	230
Male	Yes	38	Yes	Artist	1	Average	3	Cat_2	C	232
Female	Yes	51	No	Healthcare	0	High	3	Cat_4	D	233
Male	No	27	Yes	Artist	0	Low	1	Cat_6	D	234
Male	Yes	68	Yes	Entertainment	1	Average	2	Cat_6	C	235
Male	No	27	No	Healthcare	1	Low	3	Cat_6	C	236
Male	Yes	50	No	Engineer	1	Low	2	Cat_6	D	237
Male	No	20	No	Healthcare	0	Low	3	Cat_3	D	238
Male	Yes	60	Yes	Executive	0	High	4	Cat_6	B	239
Male	Yes	70	Yes	Lawyer	null	Low	1	Cat_3	A	240
Male	No	25	Yes	Marketing	8	Low	3	Cat_6	A	242
Female	No	38	Yes	Engineer	null	Low	1	Cat_6	D	243
Female	No	26	No	Healthcare	null	Low	6	Cat_7	D	244
Female	Yes	27	No	Healthcare	0	Low	2	Cat_6	D	246
Male	No	36	Yes	Artist	0	Low	1	Cat_6	B	247
Female	Yes	30	No	Engineer	0	Average	2	Cat_6	D	249
Female	No	31	Yes	Healthcare	null	Low	4	Cat_6	D	253
Male	Yes	39	Yes	Artist	13	Low	2	Cat_6	B	254
Female	Yes	52	Yes	Artist	0	Average	4	Cat_6	C	255
Female	No	36	Yes	Marketing	null	Low	3	Cat_6	D	256
Female	No	40	Yes	Artist	6	Low	2	Cat_6	B	259
Female	null	22	No	Doctor	6	High	3	Cat_6	D	261
Female	null	33	Yes	Healthcare	0	Low	5	Cat_3	D	264
Male	Yes	25	No	Engineer	14	Low	1	Cat_6	D	265
Female	No	35	Yes	Doctor	1	Low	1	Cat_3	B	266
Male	Yes	56	Yes	Entertainment	0	Average	2	Cat_6	C	268
Female	Yes	33	Yes	Doctor	0	Low	2	Cat_6	A	269
Male	Yes	36	No	Entertainment	0	Average	4	Cat_4	A	270
Male	No	18	No	Doctor	0	Low	5	Cat_2	C	274
Female	No	33	Yes	Artist	10	Low	1	Cat_7	A	275
Female	No	56	Yes	Lawyer	null	Low	2	Cat_6	D	276
Male	Yes	52	Yes	Artist	1	Low	1	Cat_6	C	277
Female	No	30	Yes	Entertainment	0	Low	4	Cat_6	B	279
Male	Yes	51	Yes	Artist	5	Average	3	Cat_6	B	281
Female	No	53	Yes	Engineer	1	Low	2	Cat_6	A	282
Female	No	36	Yes	Healthcare	6	Low	3	Cat_2	D	283
Female	No	19	No	Healthcare	0	Low	4	Cat_3	D	284
Male	Yes	36	Yes	Artist	8	Average	2	Cat_6	B	286
Female	Yes	51	Yes	Artist	0	Average	4	Cat_3	C	288
Male	Yes	52	Yes	Artist	1	Average	6	Cat_6	C	289
Female	No	42	Yes	Homemaker	null	Low	1	Cat_6	A	293
Male	Yes	33	No	Healthcare	11	High	2	Cat_6	D	294
Female	No	22	No	Healthcare	0	Low	7	Cat_6	D	296
Female	No	32	Yes	Engineer	9	Low	1	Cat_6	A	300
Female	Yes	37	No	Engineer	7	Low	1	Cat_4	D	301
Female	No	31	Yes	Healthcare	8	Low	5	Cat_6	C	302
Male	Yes	39	No	Executive	null	High	4	Cat_3	D	309
Male	Yes	89	No	Executive	0	High	2	Cat_6	A	313
Female	Yes	35	No	Artist	11	Low	2	Cat_4	A	314
Female	No	30	Yes	Artist	0	Low	5	Cat_2	A	315
Male	Yes	41	No	Entertainment	0	Average	4	Cat_4	A	316
Female	Yes	67	Yes	Artist	9	Low	3	Cat_6	B	319
Male	No	32	Yes	Healthcare	1	Low	3	Cat_6	A	320
Male	Yes	71	No	Lawyer	0	Low	1	Cat_6	B	321
Female	Yes	43	Yes	Artist	5	High	3	Cat_6	B	322
Female	Yes	81	Yes	Homemaker	0	High	2	Cat_6	B	324
Male	Yes	53	Yes	Executive	1	High	4	Cat_6	C	326
Female	Yes	30	No	Homemaker	9	Low	3	Cat_3	B	327
Male	Yes	56	Yes	Artist	0	Low	1	Cat_6	D	328
Female	null	40	No	Engineer	1	Low	4	Cat_3	A	329
Female	No	25	Yes	Healthcare	null	Low	2	Cat_4	A	331
Male	Yes	68	No	Executive	0	High	2	Cat_4	D	333
Female	No	48	Yes	Artist	1	Low	1	Cat_2	B	335
Male	No	37	Yes	Artist	8	Low	1	Cat_3	A	339
Female	No	48	Yes	Artist	4	Low	1	Cat_6	C	343
Male	No	36	Yes	Artist	8	Low	1	Cat_6	B	347
Female	Yes	57	Yes	Artist	0	High	2	Cat_6	C	348
Male	No	20	No	Marketing	0	Low	3	Cat_3	B	352
Male	Yes	40	Yes	Doctor	1	Average	2	Cat_6	B	354
Male	Yes	37	No	Artist	1	Low	5	Cat_3	C	355