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
9,701	15,797,149	Lloyd	563	Spain	Female	36	4	143,680.47	2	1	1	63,531.19	0
9,702	15,636,912	Sneddon	678	Spain	Male	38	3	124,483.53	1	1	0	126,253.31	0
9,703	15,687,828	Gorshkov	644	Spain	Female	31	5	86,006.3	1	1	1	73,922.95	0
9,704	15,667,424	Forbes	682	Germany	Female	43	7	111,094.05	2	1	1	64,679.3	0
9,705	15,759,872	L?	625	France	Male	22	9	0	2	1	0	157,072.91	0
9,706	15,572,374	Hopetoun	733	Spain	Male	36	1	0	2	0	1	108,377.82	0
9,707	15,754,926	Lucchesi	512	France	Female	30	6	0	2	1	0	88,827.31	0
9,708	15,687,431	Faria	642	France	Female	41	7	115,171.71	1	1	1	37,674.47	0
9,709	15,604,515	Yefremov	737	Germany	Female	22	10	111,543.26	2	0	0	106,327.85	0
9,710	15,682,839	Genovesi	575	France	Female	57	8	137,936.94	1	1	1	84,475.13	0
9,711	15,624,677	Marquez	543	Germany	Female	37	3	122,304.65	2	0	0	33,998.7	0
9,712	15,646,366	Trevisani	521	Germany	Male	41	8	120,586.54	1	0	1	20,491.15	0
9,713	15,701,768	Tung	637	France	Male	32	3	0	2	1	1	197,827.06	0
9,714	15,623,566	Barnhill	714	France	Male	40	9	46,520.69	1	1	1	96,687.25	0
9,715	15,681,274	Marshall	726	Spain	Female	56	2	105,473.74	1	1	1	46,044.7	0
9,716	15,762,573	Bednall	680	Spain	Female	34	7	0	2	1	0	98,949.85	0
9,717	15,706,458	Pan	812	Germany	Male	39	5	115,730.71	3	1	1	185,599.34	1
9,718	15,654,222	Ogg	757	Spain	Male	30	3	145,396.49	1	0	1	198,341.15	0
9,719	15,704,053	T'ang	710	Spain	Male	62	3	131,078.42	2	1	0	119,348.76	1
9,720	15,724,321	Baresi	516	Germany	Female	47	9	128,298.74	1	0	0	149,614.17	1
9,721	15,621,815	Obiajulu	803	France	Female	40	6	165,526.71	1	1	0	12,328.08	0
9,722	15,724,876	McGregor	560	France	Female	38	5	83,714.41	1	1	1	33,245.97	0
9,723	15,696,588	Lung	679	France	Female	36	3	0	2	1	1	2,243.41	0
9,724	15,612,832	Jamieson	526	France	Male	32	7	125,540.05	1	0	0	86,786.41	0
9,725	15,804,295	Pinto	485	France	Male	41	2	100,254.76	2	1	1	12,706.67	0
9,726	15,712,536	Fallaci	625	France	Female	36	3	0	2	1	0	41,295.1	1
9,727	15,662,494	Goliwe	773	Spain	Male	43	7	138,150.57	1	1	1	177,357.16	0
9,728	15,807,728	Ferri	530	France	Female	45	1	0	1	0	1	190,663.89	1
9,729	15,764,916	Rowley	616	Germany	Female	43	7	95,984.21	1	0	1	115,262.54	1
9,730	15,615,330	Tretiakova	651	France	Male	23	10	0	2	1	1	170,099.23	0
9,731	15,638,487	She	586	Germany	Male	38	2	136,858.42	1	0	1	189,143.94	0
9,732	15,627,859	Nebeolisa	607	Germany	Male	29	7	102,609	1	1	0	163,257.44	0
9,733	15,622,192	Young	724	Spain	Male	39	3	0	2	0	1	95,562.81	0
9,734	15,789,413	Fitzgerald	733	France	Male	64	3	0	2	1	1	75,272.63	0
9,735	15,583,221	Arnold	667	Germany	Male	70	3	77,356.92	2	1	1	20,881.96	0
9,736	15,768,495	Chidimma	700	France	Female	32	8	110,923.15	2	1	1	161,845.81	1
9,737	15,644,103	Wells	659	Spain	Male	78	2	151,675.65	1	0	1	49,978.67	0
9,738	15,741,197	Calzada	710	Spain	Male	22	8	0	3	1	0	107,292.91	0
9,739	15,664,547	Black	760	France	Male	37	7	0	1	0	0	32,863.24	1
9,740	15,797,293	Sopuluchukwu	677	France	Female	25	3	0	2	1	0	179,608.96	0
9,741	15,572,021	Ts'ao	798	Germany	Female	29	8	80,204.11	2	1	0	70,223.22	0
9,742	15,637,461	Ukaegbunam	758	France	Male	35	7	0	2	1	0	77,951.84	0
9,743	15,620,577	Wood	715	France	Male	45	4	0	2	1	1	55,043.93	0
9,744	15,609,643	Furneaux	752	Germany	Male	32	9	115,587.49	2	0	1	101,677.46	0
9,745	15,785,358	Gresswell	586	Germany	Male	46	8	106,968.96	1	1	1	79,366.98	1
9,746	15,603,883	Ch'in	818	France	Male	36	4	0	2	1	1	8,037.03	0
9,747	15,782,550	Ma	490	Germany	Female	41	0	139,659.04	1	1	1	176,254.12	0
9,748	15,775,761	Iweobiegbunam	610	Germany	Female	69	5	86,038.21	3	0	0	192,743.06	1
9,749	15,680,201	Marcelo	627	Germany	Male	24	5	102,773.2	2	1	0	56,793.02	1
9,750	15,767,594	Azubuike	533	France	Female	35	8	0	2	1	1	187,900.12	0
9,751	15,591,985	Stewart	708	France	Female	51	8	70,754.18	1	1	1	92,920.04	1
9,752	15,789,339	Yen	681	France	Male	59	4	122,781.51	1	0	1	140,166.95	0
9,753	15,781,530	Hsieh	690	France	Male	21	8	0	2	1	1	155,782.89	0
9,754	15,705,174	Chiedozie	656	Germany	Male	68	7	153,545.11	1	1	1	186,574.68	0
9,755	15,572,114	Shih	673	Spain	Male	40	1	121,629.22	1	1	1	3,258.6	0
9,756	15,804,009	Amechi	806	Germany	Male	36	8	167,983.17	2	1	1	106,714.28	0
9,757	15,662,698	Ko	648	Spain	Female	43	7	81,153.82	1	1	1	144,532.85	1
9,758	15,696,047	Chimezie	501	France	Male	35	6	99,760.84	1	1	1	13,591.52	0
9,759	15,701,160	Azubuike	556	Germany	Female	43	4	125,890.72	1	1	1	74,854.97	0
9,760	15,790,093	Aguirre	627	France	Female	27	2	0	2	1	0	125,451.01	0
9,761	15,632,143	Lung	652	France	Male	31	2	119,148.55	1	0	0	149,740.22	0
9,762	15,736,778	Adams	807	Germany	Female	60	1	72,948.58	2	1	1	17,355.36	0
9,763	15,734,917	Castiglione	708	Germany	Male	21	8	133,974.36	2	1	0	50,294.09	0
9,764	15,643,903	Yao	619	France	Male	27	1	154,483.98	1	1	0	156,394.74	0
9,765	15,569,526	Morales	601	France	Male	40	10	98,627.13	2	0	0	77,977.69	0
9,766	15,777,067	Thomas	445	France	Male	64	2	136,770.67	1	0	1	43,678.06	0
9,767	15,795,511	Vasiliev	800	Germany	Male	39	4	95,252.72	1	1	0	13,906.34	0
9,768	15,610,419	Chukwueloka	554	France	Male	33	3	117,413.95	1	1	1	12,766.74	0
9,769	15,644,994	Ko	714	Germany	Male	54	4	137,986.58	2	0	1	51,308.54	1
9,770	15,703,707	Atkins	656	France	Male	44	10	143,571.52	1	0	0	127,444.14	0
9,771	15,659,327	Moffitt	520	France	Male	49	5	121,197.64	1	1	0	72,577.33	1
9,772	15,771,323	Panicucci	480	Spain	Male	39	5	121,626.9	1	1	1	82,438.13	0
9,773	15,750,549	Akobundu	660	Germany	Male	30	1	84,440.1	2	1	1	60,485.98	0
9,774	15,698,462	Chiu	532	France	Male	36	4	0	2	1	1	132,798.78	0
9,775	15,739,692	Tsui	679	France	Male	42	1	0	2	0	0	71,823.15	0
9,776	15,744,041	Yobanna	780	France	Female	26	3	140,356.7	1	1	0	117,144.15	0
9,777	15,700,714	Hollis	747	France	Male	29	7	0	2	1	1	141,706.43	0
9,778	15,777,743	Cattaneo	705	France	Female	39	3	92,224.56	1	1	1	54,517.25	0
9,779	15,623,143	Lung	732	France	Female	43	9	0	2	1	0	183,147.17	0
9,780	15,712,568	Angelo	515	Spain	Male	40	10	121,355.99	1	1	0	138,360.29	0
9,781	15,617,432	Folliero	816	Germany	Female	40	9	109,003.26	1	1	1	79,580.56	0
9,782	15,650,424	Bryant	641	France	Female	48	3	147,341.43	1	1	1	157,458.61	1
9,783	15,728,829	Weigel	509	France	Male	18	7	102,983.91	1	1	0	171,770.58	0
9,784	15,680,430	Ajuluchukwu	601	Germany	Female	49	4	96,252.98	2	1	0	104,263.82	0
9,785	15,687,626	Zhirov	527	France	Male	39	4	0	2	1	0	167,183.07	1
9,786	15,609,187	Cox	455	France	Female	27	5	155,879.09	2	0	0	70,774.97	0
9,787	15,609,521	Chimaraoke	803	Germany	Male	34	4	142,929.16	2	1	1	114,869.56	0
9,788	15,752,626	Genovese	553	France	Male	32	7	64,082.09	1	0	1	109,159.58	0
9,789	15,571,756	Ohearn	724	France	Female	28	5	0	1	1	0	59,351.68	0
9,790	15,814,040	Munroe	610	France	Female	45	1	0	2	1	1	199,657.46	0
9,791	15,658,211	Morrison	559	Spain	Female	39	2	0	2	1	1	121,151.1	0
9,792	15,742,091	Parkhill	825	Germany	Female	35	6	118,336.95	1	1	0	26,342.33	1
9,793	15,787,168	Y?	819	Spain	Female	28	8	168,253.21	1	1	1	102,799.14	0
9,794	15,772,363	Hilton	772	Germany	Female	42	0	101,979.16	1	1	0	90,928.48	0
9,795	15,659,364	Thompson	685	Spain	Male	23	5	164,902.43	1	0	0	141,152.28	0
9,796	15,738,980	Yobanna	506	France	Male	43	2	0	2	1	0	105,568.6	0
9,797	15,794,236	Thorpe	642	Germany	Male	22	10	111,812.52	2	1	1	183,045.46	0
9,798	15,721,383	Harvey	627	Spain	Male	40	10	0	2	1	1	194,792.42	0
9,799	15,652,981	Robinson	600	Germany	Male	30	2	119,755	1	1	1	21,852.91	0
9,800	15,722,731	Manna	653	France	Male	46	0	119,556.1	1	1	0	78,250.13	1

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