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
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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