Split (1)

train · 10k rows

RowNumber int64	CustomerId int64	Surname string	CreditScore int64	Geography string	Gender string	Age int64	Tenure int64	Balance float64	NumOfProducts int64	HasCrCard int64	IsActiveMember int64	EstimatedSalary float64	Exited int64
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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