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
8,201	15,577,359	Bezrukov	767	Spain	Male	47	5	0	1	1	0	121,964.46	1
8,202	15,614,936	Mancini	718	Spain	Female	49	10	82,321.88	1	0	1	11,144.4	0
8,203	15,747,647	Iadanza	589	Spain	Female	27	4	0	2	1	0	144,181.48	0
8,204	15,588,566	Wilkinson	778	Spain	Male	33	5	116,474.28	2	1	1	32,757.55	0
8,205	15,570,141	P'eng	724	France	Female	34	3	132,352.69	1	1	0	80,320.3	0
8,206	15,800,793	St Clair	477	Germany	Female	39	4	182,491.57	1	1	0	185,830.72	0
8,207	15,572,415	Preston	580	France	Male	34	6	0	2	1	1	160,095.31	0
8,208	15,635,125	Findlay	566	Spain	Male	63	2	120,787.18	2	1	1	52,198.84	0
8,209	15,636,551	Nixon	711	France	Female	29	3	130,181.47	2	1	0	31,811.44	0
8,210	15,600,912	Gorshkov	706	Germany	Male	32	5	88,348.43	2	1	1	104,181.78	0
8,211	15,768,476	Chukwubuikem	703	Spain	Male	31	6	0	2	1	1	67,667.19	0
8,212	15,650,266	Medvedeva	679	Germany	Male	39	2	146,186.28	2	1	1	193,974.47	0
8,213	15,621,004	Chukwuhaenye	603	France	Male	32	7	0	1	1	0	198,055.94	1
8,214	15,748,352	Endrizzi	598	Spain	Male	34	0	104,488.17	1	0	1	43,249.67	0
8,215	15,788,920	Ch'ang	836	Germany	Female	32	4	109,196.67	2	1	0	55,218.02	0
8,216	15,743,236	Piccio	687	France	Female	61	7	80,538.56	1	1	0	131,305.37	1
8,217	15,637,717	Lockington	704	Germany	Male	41	4	109,026.8	2	1	1	43,117.1	0
8,218	15,635,500	Seleznyov	605	Germany	Male	75	2	61,319.63	1	0	1	186,655.11	0
8,219	15,634,792	Weston	516	France	Female	40	9	0	2	0	1	33,266.29	0
8,220	15,607,560	Groom	572	France	Female	39	2	0	2	1	1	555.28	0
8,221	15,727,177	Manfrin	557	France	Male	42	6	177,822.03	1	1	0	150,944.31	1
8,222	15,774,358	Robertson	443	Germany	Male	59	4	110,939.3	1	1	0	72,846.58	1
8,223	15,791,304	Ch'ang	604	Germany	Male	25	7	165,413.43	1	1	1	35,279.74	0
8,224	15,603,328	Lucchesi	483	France	Male	27	1	77,805.66	1	1	1	2,101.89	0
8,225	15,804,937	Cambage	702	France	Male	50	3	0	2	0	0	94,949.84	0
8,226	15,804,142	Tan	670	Spain	Female	57	3	175,575.95	2	1	0	99,061.75	1
8,227	15,608,845	Tao	804	Spain	Female	38	3	124,197.22	1	1	0	74,692.06	0
8,228	15,702,434	Hsieh	850	France	Female	30	3	0	2	1	0	116,692.8	0
8,229	15,632,609	Burdekin	554	France	Female	39	10	160,132.75	1	1	0	32,824.15	0
8,230	15,603,550	Longo	588	Germany	Female	37	7	70,258.88	2	1	0	139,607.61	0
8,231	15,755,239	Maughan	758	Germany	Male	32	4	162,657.64	2	1	1	115,525.13	0
8,232	15,670,528	Franz	787	Germany	Male	43	0	132,217.45	1	1	0	20,955.03	1
8,233	15,732,704	Piazza	582	Spain	Male	25	9	148,042.97	2	1	0	52,341.15	0
8,234	15,589,019	Morant	633	Spain	Female	33	4	92,855.02	1	1	1	159,813.18	0
8,235	15,677,796	Becher	766	Germany	Male	47	9	129,289.98	1	1	0	169,935.46	1
8,236	15,760,177	Lombardi	564	Spain	Male	37	9	100,252.18	1	1	1	146,033.52	0
8,237	15,636,595	Loton	602	Spain	Male	37	3	107,592.89	2	0	1	153,122.73	0
8,238	15,737,275	Conti	649	France	Male	39	3	113,096.41	1	1	1	60,335.24	0
8,239	15,672,905	Sani	679	Spain	Female	40	7	0	2	1	1	163,757.29	0
8,240	15,753,955	Lori	639	Spain	Male	34	7	149,940.04	2	0	0	156,648.81	0
8,241	15,708,504	Wong	790	Germany	Male	50	8	121,438.58	1	1	1	176,471.78	1
8,242	15,592,451	Lombardi	565	France	Male	32	9	0	2	1	0	5,388.3	0
8,243	15,790,455	Obialo	478	France	Female	50	2	0	1	0	1	93,332.64	1
8,244	15,572,174	Mazzi	825	France	Male	29	3	148,874.01	2	0	1	71,192.82	0
8,245	15,656,330	Von Doussa	528	Spain	Female	32	0	68,138.37	1	1	1	170,309.19	0
8,246	15,569,626	Miller	577	Spain	Male	35	5	110,080.3	1	1	1	109,794.31	0
8,247	15,608,726	Miracle	663	France	Male	24	7	0	2	1	1	166,310.82	0
8,248	15,637,366	Su	505	Germany	Female	25	5	114,268.85	2	1	1	126,728.27	0
8,249	15,778,049	Wyatt	633	Germany	Male	29	6	117,412.35	1	0	0	30,338.94	0
8,250	15,727,421	Anayolisa	586	France	Female	38	6	0	2	1	1	37,935.83	0
8,251	15,688,865	Wade	850	France	Female	35	9	0	2	0	0	25,329.48	0
8,252	15,751,032	Enemuo	629	Germany	Female	37	1	35,549.81	2	0	0	49,676.33	0
8,253	15,734,737	Bruno	744	France	Male	56	9	0	2	1	1	169,498.61	0
8,254	15,746,515	Greece	750	France	Male	36	7	136,492.92	3	1	1	26,500.29	1
8,255	15,664,311	Yang	637	Germany	Male	28	3	123,675.69	1	1	1	166,458.41	0
8,256	15,708,139	Brown	575	France	Female	40	1	139,532.34	1	1	0	181,294.39	0
8,257	15,768,574	Anderson	671	Spain	Male	58	1	178,713.98	1	1	1	21,768.21	0
8,258	15,738,018	Johnston	571	France	Male	40	5	0	2	0	0	72,849.29	0
8,259	15,699,753	Zakharov	590	France	Male	41	1	89,086.31	1	1	0	24,499.97	0
8,260	15,703,199	Golibe	619	Spain	Male	38	3	96,143.47	1	0	0	98,994.92	0
8,261	15,627,830	Nikitina	640	Germany	Female	30	5	32,197.64	1	0	1	141,446.01	0
8,262	15,570,855	Leonard	670	France	Male	38	7	0	2	1	1	77,864.41	0
8,263	15,772,503	Burns	737	France	Female	33	4	0	2	1	0	115,115.32	0
8,264	15,584,453	Burtch	555	Spain	Male	32	10	0	2	0	1	168,605.96	0
8,265	15,710,111	Clark	742	France	Male	33	6	0	2	0	0	38,550.4	0
8,266	15,618,562	Woodward	618	Germany	Female	40	0	140,306.38	1	1	0	160,618.61	1
8,267	15,706,764	Spencer	560	France	Female	35	1	0	2	1	0	3,701.63	0
8,268	15,798,737	Chao	654	France	Male	38	8	0	2	1	0	88,659.44	0
8,269	15,712,608	Costa	787	Germany	Female	42	2	74,483.97	2	0	1	44,273.91	0
8,270	15,636,736	McLachlan	611	France	Female	53	7	0	2	0	1	156,495.39	1
8,271	15,703,544	Hung	559	Spain	Male	34	0	0	1	1	0	182,988.94	0
8,272	15,815,645	Akhtar	481	France	Male	37	8	152,303.66	2	1	1	175,082.2	0
8,273	15,705,739	Toscani	753	Germany	Male	32	5	159,904.79	1	1	0	148,811.14	0
8,274	15,709,643	Gray	675	France	Male	32	1	0	3	1	0	85,901.09	0
8,275	15,669,805	Warren	748	Germany	Female	31	1	99,557.94	1	1	0	199,255.32	0
8,276	15,737,489	Ramsden	610	Spain	Female	46	5	116,886.59	1	0	0	107,973.44	0
8,277	15,775,131	Bartlett	580	Spain	Male	32	9	142,188.2	2	0	1	128,028.6	0
8,278	15,765,283	Wenz	624	Germany	Female	40	3	149,961.99	2	1	0	104,610.86	0
8,279	15,628,715	Kisch	709	France	Female	36	8	0	2	1	1	69,676.55	0
8,280	15,813,283	Mai	605	France	Female	34	2	0	1	0	0	35,982.42	0
8,281	15,745,716	McGregor	706	Spain	Male	53	7	0	2	0	1	117,939.17	0
8,282	15,598,485	Pinto	567	Spain	Male	40	8	28,649.64	1	1	1	95,140.62	0
8,283	15,696,552	Newman	747	France	Female	21	4	81,025.6	2	1	0	167,682.57	0
8,284	15,754,569	Pagnotto	664	France	Male	57	1	0	2	1	1	56,562.57	0
8,285	15,701,741	Williams	711	France	Female	39	3	152,462.79	1	1	0	90,305.97	0
8,286	15,572,631	Ndubuisi	609	France	Male	25	10	0	1	0	1	109,895.16	0
8,287	15,636,069	Plummer	632	Spain	Male	28	7	155,519.59	1	1	0	1,843.24	0
8,288	15,682,467	Chimezie	725	France	Female	36	1	118,851.05	1	1	1	102,747.02	0
8,289	15,790,744	Nash	850	France	Female	34	9	92,899.27	2	1	0	97,465.89	0
8,290	15,625,023	Onochie	682	France	Male	40	4	0	1	0	1	105,352.55	0
8,291	15,731,267	Rizzo	797	France	Male	37	4	75,263.7	1	1	0	85,801.77	0
8,292	15,742,879	Boni	668	Spain	Male	38	1	147,904.31	1	1	1	69,370.05	0
8,293	15,757,015	Davies	783	Germany	Female	41	5	106,640.5	1	1	0	176,945.96	0
8,294	15,770,711	Lu	766	Germany	Female	28	4	90,696.78	1	0	1	21,597.2	0
8,295	15,569,430	Burrows	704	Spain	Female	36	2	175,509.8	2	1	0	152,039.67	0
8,296	15,617,304	Ershova	722	France	Male	40	6	0	2	1	1	111,893.09	0
8,297	15,704,466	Udokamma	692	France	Female	34	7	0	2	1	0	195,074.62	0
8,298	15,664,681	Aitken	584	France	Female	35	2	114,321.28	2	0	0	15,959.01	0
8,299	15,605,534	Turnbull	644	Germany	Female	51	4	95,560.04	1	0	0	72,628.84	1
8,300	15,792,473	Reilly	598	Germany	Female	50	5	88,379.81	3	0	1	64,157.24	1

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