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
2,901	15,668,575	Hao	626	Spain	Female	26	8	148,610.41	3	0	1	104,502.02	1
2,902	15,603,246	Genovesi	498	France	Male	73	2	170,241.7	2	1	1	165,407.96	0
2,903	15,804,002	Kovalev	691	France	Female	33	1	128,306.83	1	1	1	113,580.79	0
2,904	15,728,773	Hsieh	568	France	Female	47	7	0	2	1	1	45,978.39	0
2,905	15,598,044	Debellis	715	France	Female	35	3	0	1	1	1	152,012.36	0
2,906	15,694,829	Chibueze	680	Germany	Male	32	7	175,454	1	0	1	77,349.92	0
2,907	15,600,575	Padovano	802	Spain	Male	41	6	0	2	1	0	47,322.05	0
2,908	15,727,311	Yen	539	France	Female	22	0	100,885.93	2	1	1	38,772.65	0
2,909	15,570,769	Kibble	494	France	Male	69	9	93,320.8	1	1	1	24,489.44	0
2,910	15,606,274	Lori	594	Germany	Male	38	6	63,176.44	2	1	1	14,466.08	0
2,911	15,746,139	Enemuo	596	France	Male	33	2	139,451.67	1	0	0	63,142.12	0
2,912	15,704,987	Lu	649	France	Female	52	8	49,113.75	1	1	0	41,858.43	0
2,913	15,628,972	Nebeolisa	699	Germany	Male	32	1	123,906.22	3	1	1	127,443.82	1
2,914	15,697,686	Stewart	787	France	Female	40	6	0	2	1	1	84,151.98	0
2,915	15,733,883	Ward	604	France	Male	28	7	0	2	0	0	58,595.64	0
2,916	15,617,482	Milanesi	489	Germany	Female	52	1	131,441.51	1	1	0	37,240.11	1
2,917	15,704,583	Chikwado	651	France	Male	56	2	0	1	1	0	114,522.68	1
2,918	15,621,083	Douglas	698	France	Male	57	6	136,325.48	2	1	1	72,549.27	1
2,919	15,649,487	Sal	578	Germany	Female	38	4	113,150.44	2	1	0	176,712.59	1
2,920	15,736,760	Douglas	538	Spain	Female	42	9	0	1	0	0	152,855.96	0
2,921	15,714,658	Yates	696	France	Female	33	4	0	2	1	1	73,371.65	0
2,922	15,599,081	Watt	507	Germany	Female	46	8	102,785.16	1	1	1	70,323.68	0
2,923	15,705,113	P'an	685	Spain	Male	34	6	83,264.28	1	0	0	9,663.28	0
2,924	15,631,159	H?	705	Germany	Male	41	4	72,252.64	2	1	1	142,514.66	0
2,925	15,792,818	Perry	499	Germany	Female	29	6	148,051.52	1	1	0	118,623.94	0
2,926	15,633,531	Lavrov	717	France	Female	76	9	138,489.66	1	1	1	68,400.14	0
2,927	15,744,529	Chiekwugo	510	France	Male	63	8	0	2	1	1	115,291.86	0
2,928	15,669,656	Macdonald	632	France	Male	32	6	111,589.33	1	1	1	170,382.99	0
2,929	15,581,198	Jenkins	668	Germany	Female	39	0	122,104.79	1	1	0	112,946.67	1
2,930	15,729,054	Korovina	744	Germany	Male	32	4	96,106.83	1	1	1	79,812.77	0
2,931	15,573,452	Manning	663	Germany	Male	42	7	115,930.87	1	1	0	19,862.78	0
2,932	15,776,733	Wilson	638	Germany	Female	37	7	124,513.66	2	1	0	158,610.89	0
2,933	15,724,858	Begum	688	France	Female	54	9	0	1	1	0	191,212.63	1
2,934	15,713,144	Ingrassia	588	Spain	Male	46	8	0	1	1	0	61,931.21	0
2,935	15,690,188	Maclean	631	France	Male	33	7	0	1	1	1	58,043.02	1
2,936	15,689,425	Olejuru	687	Spain	Male	35	8	100,988.39	2	1	0	22,247.27	0
2,937	15,671,766	Enyinnaya	599	France	Male	44	10	118,577.24	1	1	1	31,448.52	0
2,938	15,782,806	Watson	718	Spain	Male	28	6	0	2	1	0	146,875.86	0
2,939	15,764,419	Langdon	730	France	Male	27	5	0	2	1	1	116,081.93	0
2,940	15,591,915	Frolov	533	France	Female	39	2	0	1	0	1	73,669.94	1
2,941	15,772,798	Chikezie	711	Spain	Female	28	5	0	2	1	1	93,959.96	0
2,942	15,792,008	Zetticci	555	Spain	Female	26	9	0	2	0	1	158,918.03	0
2,943	15,715,541	Yang	850	France	Female	42	9	113,311.11	1	1	1	198,193.75	0
2,944	15,639,277	Lin	678	France	Female	41	9	0	1	0	0	13,160.03	0
2,945	15,798,850	Goddard	576	France	Male	32	7	0	2	1	0	4,660.91	0
2,946	15,776,348	Rogers	835	Germany	Male	20	4	124,365.42	1	0	0	180,197.74	1
2,947	15,727,696	Zubareva	592	France	Male	42	1	147,249.29	2	1	1	63,023.02	0
2,948	15,793,813	Onochie	774	France	Male	36	7	103,688.19	1	0	1	118,971.74	0
2,949	15,694,395	Ts'ui	620	France	Female	29	1	138,740.24	2	0	0	154,700.61	0
2,950	15,764,195	Newsom	519	Spain	Male	39	4	111,900.14	1	1	1	97,577.17	0
2,951	15,744,919	Genovese	734	Spain	Female	37	0	152,760.24	1	1	1	48,990.5	0
2,952	15,671,655	Thorpe	763	Germany	Male	31	7	143,966.3	2	1	1	140,262.96	1
2,953	15,654,901	Horton	733	France	Male	51	10	141,556.96	1	1	0	130,189.53	0
2,954	15,649,136	Williamson	650	France	Female	43	6	0	2	1	1	16,301.91	0
2,955	15,775,562	Shoobridge	538	France	Female	33	5	0	2	1	0	126,962.41	0
2,956	15,807,481	Peng	577	France	Female	46	1	0	1	1	1	158,750.53	0
2,957	15,642,885	Gray	792	France	Male	30	8	0	2	1	0	199,644.2	0
2,958	15,789,109	Watson	686	France	Female	41	10	0	1	1	1	144,272.71	1
2,959	15,814,004	Fyodorova	589	France	Male	29	2	0	2	0	1	98,320.27	0
2,960	15,673,619	Bazhenov	530	France	Male	25	9	162,560.32	1	1	0	64,129.03	0
2,961	15,595,135	Solomon	778	Germany	Female	29	7	123,229.46	1	1	0	181,221.09	0
2,962	15,583,681	Layh	616	Spain	Male	31	7	76,665.71	2	1	1	163,809.08	0
2,963	15,605,000	John	550	France	Male	38	9	140,278.99	3	1	1	171,457.06	1
2,964	15,718,071	Tuan	655	France	Female	51	3	0	2	0	1	15,801.02	0
2,965	15,679,760	Slattery	721	France	Male	46	1	115,764.32	2	0	0	102,950.79	0
2,966	15,654,574	Onyekachi	499	Germany	Male	36	5	131,142.53	2	1	0	174,918.46	0
2,967	15,577,178	Genovese	511	France	Male	45	5	68,375.27	1	1	0	193,160.25	1
2,968	15,595,324	Daniels	579	Germany	Female	39	5	117,833.3	3	0	0	5,831	1
2,969	15,756,932	Caldwell	696	Spain	Female	36	7	0	2	1	1	82,298.59	0
2,970	15,726,358	Chiemenam	681	France	Male	34	7	0	2	0	0	130,686.59	0
2,971	15,595,228	Wanliss	815	France	Male	45	7	0	1	0	1	52,885.23	1
2,972	15,782,530	Bruce	681	Spain	Male	30	2	111,093.01	1	1	0	68,985.99	0
2,973	15,592,877	Wright	641	Spain	Male	42	9	132,657.55	1	1	0	35,367.19	0
2,974	15,651,983	Fang	591	France	Female	56	9	128,882.49	1	1	1	196,241.94	1
2,975	15,746,737	Eames	565	Germany	Male	59	9	69,129.59	1	1	1	170,705.53	0
2,976	15,774,179	Sutherland	487	France	Male	37	6	0	2	1	1	126,477.41	0
2,977	15,667,265	Cavenagh	729	France	Male	39	4	121,404.64	1	1	1	159,618.17	0
2,978	15,655,123	Dumetolisa	505	Spain	Female	45	9	131,355.3	3	1	0	195,395.33	1
2,979	15,595,917	Mackay	580	France	Female	35	1	102,097.33	1	0	1	168,285.85	0
2,980	15,668,385	Dellucci	642	France	Male	40	1	154,863.15	1	1	1	138,052.51	0
2,981	15,709,476	Kenyon	850	Spain	Female	41	3	99,945.93	2	1	0	71,179.31	0
2,982	15,711,218	Parry	616	Germany	Male	39	2	121,704.32	2	1	0	55,556.3	0
2,983	15,798,659	Kennedy	526	Spain	Female	43	3	0	2	1	0	31,705.19	0
2,984	15,663,939	Arnott	523	Germany	Male	35	8	138,782.76	1	1	1	186,118.93	0
2,985	15,694,946	Hanson	663	France	Male	35	9	0	2	1	1	195,580.28	0
2,986	15,631,912	T'ao	840	France	Male	30	8	136,291.71	1	1	0	54,113.38	0
2,987	15,768,816	Shen	570	Germany	Male	42	0	107,856.57	2	1	0	127,528.84	0
2,988	15,682,268	Steere	676	Germany	Female	26	1	108,348.66	1	0	0	60,231.74	1
2,989	15,684,801	Abbott	689	France	Male	47	1	93,871.95	3	1	0	156,878.42	1
2,990	15,636,428	Sutherland	703	Spain	Female	45	1	0	1	1	0	182,784.11	1
2,991	15,809,823	Thurgood	491	Germany	Male	19	2	125,860.2	1	0	0	129,690.5	0
2,992	15,699,284	Johnson	584	France	Male	49	8	172,713.44	1	1	0	113,860.81	0
2,993	15,786,993	Lung	810	France	Female	51	5	0	2	0	1	184,524.74	0
2,994	15,709,441	Cocci	745	Spain	Female	59	8	0	1	1	1	36,124.98	0
2,995	15,710,257	Matveyeva	625	France	Female	39	3	130,786.92	1	0	1	121,316.07	0
2,996	15,582,492	Moore	535	France	Female	29	2	112,367.34	1	1	0	185,630.76	0
2,997	15,575,694	Yobachukwu	729	Spain	Female	45	7	91,091.06	2	1	0	71,133.12	0
2,998	15,756,820	Fleming	655	France	Female	26	7	106,198.5	1	0	1	32,020.42	0
2,999	15,766,289	Dickinson	751	France	Male	47	5	142,669.93	2	1	0	162,760.96	0
3,000	15,593,014	Evseyev	525	France	Male	33	1	112,833.35	1	0	1	175,178.56	0

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