Split (1)

train · 10k rows

RowNumber int64 1 10k	CustomerId int64 15.6M 15.8M	Surname stringlengths 2 23	CreditScore int64 350 850	Geography stringclasses 3 values	Gender stringclasses 2 values	Age int64 18 92	Tenure int64 0 10	Balance float64 0 251k	NumOfProducts int64 1 4	HasCrCard int64 0 1	IsActiveMember int64 0 1	EstimatedSalary float64 11.6 200k	Exited int64 0 1
7,101	15,668,830	Wan	650	Spain	Male	24	8	108,881.73	1	1	0	104,492.83	0
7,102	15,796,569	Donaldson	831	Spain	Female	44	10	0	1	0	1	47,729.33	0
7,103	15,677,112	Chukwufumnanya	519	France	Male	39	2	112,957.26	2	1	0	97,593.16	0
7,104	15,815,040	Ma	552	Germany	Female	42	8	103,362.14	1	0	1	186,869.58	1
7,105	15,590,434	Alexander	577	Spain	Male	41	4	89,015.61	1	0	1	135,227.23	0
7,106	15,597,536	Nkemjika	576	Spain	Male	45	5	133,618.01	1	0	0	135,244.87	0
7,107	15,723,989	Carroll	646	France	Male	40	5	93,680.43	2	1	1	179,473.26	0
7,108	15,767,358	Obioma	711	Germany	Female	45	1	97,486.15	2	1	0	50,610.62	0
7,109	15,594,812	Campbell	806	Spain	Female	37	2	137,794.18	2	0	1	75,232.02	0
7,110	15,688,210	Sims	670	France	Female	39	8	101,928.51	1	0	0	89,205.54	0
7,111	15,681,509	McKay	679	Spain	Female	28	9	0	2	0	1	61,761.77	0
7,112	15,572,390	Huang	850	Spain	Female	39	6	0	2	1	0	103,921.43	0
7,113	15,801,441	Campbell	670	Germany	Female	35	2	79,585.96	1	0	1	198,802.9	0
7,114	15,783,859	Boni	733	France	Female	24	3	161,884.99	1	1	1	9,617.24	0
7,115	15,575,243	Gorbunova	764	France	Female	39	1	129,068.54	2	1	1	187,905.12	0
7,116	15,773,421	Genovese	673	France	Female	42	4	0	2	1	0	121,440.8	0
7,117	15,788,776	Landor	588	Germany	Male	49	6	132,623.76	3	1	0	36,292.94	1
7,118	15,765,257	Meng	564	Spain	Male	31	5	121,461.87	1	1	1	20,432.09	1
7,119	15,661,412	Wardell	715	France	Male	32	8	175,307.32	1	1	0	187,051.23	0
7,120	15,636,478	Williams	621	France	Male	31	7	136,658.61	1	1	1	148,689.13	0
7,121	15,603,683	Ofodile	796	Spain	Female	23	3	146,584.19	2	0	0	125,445.8	0
7,122	15,651,868	Clark	672	France	Male	34	6	0	1	0	0	22,736.06	0
7,123	15,815,443	Lo	527	Spain	Female	46	10	131,414.76	1	1	0	54,947.51	0
7,124	15,682,686	Chukwuemeka	722	France	Female	38	3	0	2	0	1	167,984.72	0
7,125	15,697,460	Lai	596	Germany	Male	34	4	99,441.21	2	0	1	4,802.27	0
7,126	15,748,432	Arcuri	746	France	Female	32	4	0	2	1	1	72,909.75	0
7,127	15,698,271	Graham	523	France	Female	26	4	0	2	1	0	185,488.81	0
7,128	15,808,662	Krylov	624	France	Male	44	3	0	2	1	0	88,407.51	0
7,129	15,690,372	Henry	553	Spain	Male	38	1	181,110.13	2	1	0	184,544.59	0
7,130	15,781,875	Jamieson	850	Spain	Male	33	3	100,476.46	2	1	1	136,539.13	0
7,131	15,801,473	Moore	599	Germany	Male	33	2	51,949.95	2	1	0	85,045.92	0
7,132	15,704,509	Tan	492	France	Male	35	8	121,063.49	1	0	0	85,421.48	0
7,133	15,694,666	Thornton	707	Spain	Male	48	8	88,441.64	1	1	1	119,903.2	1
7,134	15,731,166	Macleod	743	France	Female	30	1	127,023.39	1	1	1	138,780.89	0
7,135	15,728,523	Rizzo	522	France	Male	41	5	144,147.68	1	1	1	14,789.9	0
7,136	15,788,442	Chukwukadibia	681	Spain	Female	57	2	173,306.13	1	0	1	131,964.66	0
7,137	15,689,781	Ts'ai	826	France	Female	49	0	0	1	0	0	178,709.98	1
7,138	15,764,226	Lu	630	Germany	Female	28	8	106,425.75	1	1	1	20,344.84	0
7,139	15,809,837	Kent	430	Germany	Female	66	6	135,392.31	2	1	1	172,852.06	1
7,140	15,805,212	Black	806	France	Female	67	1	0	2	0	1	103,945.58	0
7,141	15,716,082	Chukwubuikem	703	Spain	Male	39	6	152,685.4	1	0	0	183,656.12	0
7,142	15,643,056	McMillan	755	Germany	Female	38	1	82,083.52	1	0	1	10,333.78	0
7,143	15,654,859	Ngozichukwuka	612	Spain	Female	63	2	131,629.17	2	1	0	122,109.58	1
7,144	15,761,158	Y?an	719	France	Female	54	7	0	2	1	1	125,041.52	0
7,145	15,577,515	Sung	554	Germany	Female	55	0	108,477.27	1	0	1	140,003	1
7,146	15,723,827	Macartney	683	France	Male	30	4	114,779.35	1	0	0	183,171.47	0
7,147	15,646,594	Ali	749	France	Male	41	5	57,568.94	1	1	1	61,128.29	0
7,148	15,712,877	Morley	724	Spain	Male	36	1	0	2	1	0	52,462.25	0
7,149	15,598,802	Martin	770	Spain	Male	30	8	0	2	0	1	50,839.85	0
7,150	15,699,340	Okorie	680	France	Male	37	4	0	2	1	0	61,240.87	0
7,151	15,691,150	Ku	699	France	Female	32	4	110,559.46	1	1	1	127,429.56	0
7,152	15,608,688	Andreyeva	442	France	Male	34	4	0	2	1	0	68,343.08	0
7,153	15,737,998	Cheng	529	France	Male	46	8	0	1	0	0	126,511.94	1
7,154	15,735,837	Hsia	574	Spain	Male	36	3	0	2	1	1	8,559.66	0
7,155	15,659,100	Lane	605	France	Male	33	9	128,152.82	1	0	0	147,822.81	0
7,156	15,609,070	Findlay	515	Germany	Male	45	7	120,961.5	3	1	1	39,288.11	1
7,157	15,650,313	Okonkwo	632	Germany	Male	65	6	129,472.33	1	1	1	85,179.48	0
7,158	15,627,699	Pirogova	558	France	Male	32	10	105,000.23	1	1	0	190,019.61	0
7,159	15,591,010	McDonald	434	Germany	Male	55	8	109,339.17	2	1	0	96,405.88	1
7,160	15,798,895	Okonkwo	525	France	Female	59	6	55,328.4	1	1	0	83,342.73	1
7,161	15,745,375	Nnanna	640	Germany	Male	23	3	72,012.76	1	1	0	161,333.13	0
7,162	15,775,235	Ku	690	France	Female	36	6	110,480.48	1	0	0	81,292.33	0
7,163	15,780,088	Porter	607	Spain	Male	34	9	132,439.99	1	1	0	177,747.72	0
7,164	15,649,379	Somayina	850	France	Female	46	3	0	2	1	1	187,980.21	0
7,165	15,713,983	Mao	780	Germany	Male	34	5	94,108.54	2	1	0	177,235.21	0
7,166	15,709,252	Fuller	616	Germany	Female	28	10	105,173.99	1	0	1	29,835.37	1
7,167	15,699,238	Craig	618	Spain	Female	40	8	0	2	1	0	80,204.38	0
7,168	15,732,884	Trevisano	676	France	Male	29	7	131,959.86	1	0	0	189,268.81	0
7,169	15,587,297	Ruiz	507	France	Male	33	7	0	2	1	1	85,411.01	0
7,170	15,684,722	Fraser	490	France	Male	34	5	122,952.9	2	0	0	154,360.97	0
7,171	15,621,244	Gallo	678	France	Male	36	0	107,379.68	1	1	1	84,460.18	0
7,172	15,744,273	Waterhouse	637	Germany	Male	30	6	122,641.56	2	1	0	65,618.01	0
7,173	15,682,540	Cremonesi	602	France	Female	33	8	0	2	1	1	112,928.74	0
7,174	15,636,521	Feng	744	Spain	Female	30	1	124,037.28	1	1	1	142,210.94	0
7,175	15,785,339	H?	640	France	Female	50	9	117,565.03	2	0	0	82,559.77	0
7,176	15,638,983	Jara	684	France	Female	38	5	133,189.4	1	0	0	127,388.06	0
7,177	15,654,625	Wilson	495	Germany	Male	39	8	120,252.02	2	1	1	10,160.23	0
7,178	15,697,310	O'Callaghan	559	Germany	Female	28	3	152,264.81	1	0	0	64,242.31	0
7,179	15,678,210	Robson	684	France	Male	38	5	105,069.98	2	1	1	198,355.28	0
7,180	15,575,438	Pease	613	France	Male	42	7	115,076.06	1	1	1	79,323.61	0
7,181	15,632,789	Maclean	794	France	Male	30	8	0	2	1	1	24,113.91	0
7,182	15,621,423	Lavrentyev	736	France	Female	42	7	117,280.23	3	0	0	41,921.06	1
7,183	15,573,520	Rhodes	692	Germany	Male	49	6	110,540.43	2	0	1	107,472.99	0
7,184	15,740,458	Murphy	703	Spain	Male	36	7	135,095.47	1	1	0	143,859.66	0
7,185	15,762,799	Alexander	720	Germany	Male	23	0	187,861.18	2	1	1	104,120.17	0
7,186	15,686,885	Nekrasov	777	Germany	Male	44	3	124,655.59	2	0	1	79,792.3	0
7,187	15,565,996	Arnold	653	France	Male	44	8	0	2	1	1	154,639.72	0
7,188	15,662,152	Trevisan	552	France	Female	38	9	134,105.01	1	0	0	57,850.1	0
7,189	15,711,742	Mason	708	France	Female	34	4	0	1	1	1	62,868.33	0
7,190	15,701,885	Tucker	647	France	Female	40	9	0	2	0	1	92,357.21	0
7,191	15,774,262	Hobson	597	Germany	Male	52	8	83,693.34	2	1	1	161,083.53	0
7,192	15,567,839	Gordon	501	France	Male	42	9	114,631.23	1	0	1	91,429.74	0
7,193	15,644,400	Anderson	709	France	Male	44	9	128,601.98	1	1	0	117,031.2	0
7,194	15,797,246	Terry	621	Germany	Female	34	2	91,258.52	2	1	0	44,857.4	0
7,195	15,778,290	Lappin	799	France	Male	70	8	70,416.75	1	1	1	36,483.52	0
7,196	15,708,714	Santiago	675	France	Female	33	6	0	2	1	0	34,045.61	0
7,197	15,586,183	Wallace	561	France	Female	35	5	0	2	1	0	59,981.62	0
7,198	15,761,733	King	707	France	Female	42	10	0	2	1	1	152,944.39	0
7,199	15,773,934	Fang	670	France	Male	33	6	88,294.6	1	1	0	66,979.06	0
7,200	15,705,343	May	649	Spain	Female	32	7	0	1	1	0	28,797.32	0

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