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
7,801	15,795,759	Bergamaschi	698	Germany	Female	52	1	107,906.75	1	1	0	168,886.39	1
7,802	15,798,844	Chijindum	678	France	Male	54	7	128,914.97	1	0	0	191,746.23	1
7,803	15,717,962	Ch'iu	773	Spain	Male	63	9	111,179.83	1	1	1	93,091.02	0
7,804	15,691,504	Yusupova	619	Germany	Female	52	8	124,099.13	1	0	0	23,904.52	0
7,805	15,693,893	Davis	684	Germany	Male	59	9	122,471.09	1	0	1	15,807.07	0
7,806	15,672,499	Iadanza	635	France	Male	34	3	134,692.4	2	1	1	83,773.02	0
7,807	15,750,410	Jordan	680	France	Female	25	4	123,816.5	1	1	1	90,162.35	0
7,808	15,568,904	Kruglova	608	Germany	Male	34	3	106,288.54	1	1	1	36,639.25	0
7,809	15,649,033	Echezonachukwu	603	Germany	Female	55	7	127,723.25	2	1	0	139,469.11	1
7,810	15,780,989	Hajek	579	Spain	Male	43	2	145,843.82	1	1	1	198,402.37	1
7,811	15,771,059	Welch	756	Germany	Female	34	2	148,200.72	1	0	0	194,584.48	0
7,812	15,687,852	Vinogradoff	611	France	Male	30	2	104,145.65	1	0	0	159,629.64	0
7,813	15,695,280	Hung	532	Germany	Male	24	8	142,755.25	1	0	0	34,231.48	0
7,814	15,592,751	Okwudiliolisa	684	Germany	Female	63	3	81,245.79	1	1	0	69,643.31	1
7,815	15,598,338	Mays	647	Germany	Female	33	3	168,560.46	2	0	0	90,270.16	0
7,816	15,735,784	Gardner	583	France	Male	38	8	0	1	1	0	47,848.56	0
7,817	15,629,128	Mamelu	774	Germany	Male	42	2	132,193.94	2	1	1	162,865.52	0
7,818	15,642,870	Ross	677	France	Male	58	9	0	1	0	1	168,650.4	0
7,819	15,637,977	Barese	542	Germany	Male	25	8	139,330.1	1	0	0	54,372.37	0
7,820	15,600,792	Swayne	613	Spain	Male	29	0	0	2	0	1	133,897.32	0
7,821	15,576,131	Phillips	666	France	Male	40	5	0	2	1	0	147,878.05	0
7,822	15,686,588	Manfrin	777	France	Female	28	2	134,571.5	1	0	1	118,313.38	0
7,823	15,761,018	Tan	581	Germany	Male	50	2	143,829.2	2	1	0	181,224.24	1
7,824	15,616,029	Adams	705	France	Male	32	7	0	2	1	0	7,921.57	0
7,825	15,761,149	Teng	673	France	Female	44	8	133,444.97	1	0	1	5,708.19	0
7,826	15,802,758	Chinwendu	594	Germany	Female	23	4	104,753.84	2	1	0	56,756.52	1
7,827	15,647,838	Davison	648	Germany	Female	51	2	116,574.84	1	1	0	4,121.04	1
7,828	15,735,968	Hsing	605	France	Male	41	10	0	2	0	1	97,213.09	0
7,829	15,581,286	Castro	734	France	Female	40	9	176,914.8	1	1	1	12,799.23	0
7,830	15,625,445	Parkin	572	France	Female	36	8	68,348.18	2	0	1	50,400.32	0
7,831	15,600,173	Manna	595	France	Female	33	9	0	2	1	1	41,447.86	0
7,832	15,635,143	Fennescey	749	France	Male	42	2	56,726.83	2	0	1	185,543.35	0
7,833	15,664,849	Colon	573	Spain	Male	46	3	65,269.23	1	0	1	189,988.65	1
7,834	15,762,455	Yeh	624	Spain	Male	33	6	66,220.17	1	0	1	170,819.01	0
7,835	15,797,165	Bergamaschi	703	France	Male	56	9	0	1	0	0	85,547.33	1
7,836	15,788,189	Matveyeva	665	France	Female	41	8	96,147.55	1	1	0	137,037.97	0
7,837	15,780,492	Ignatyeva	648	France	Male	42	4	0	2	1	0	19,283.14	0
7,838	15,678,497	Lederer	850	Spain	Male	48	2	0	1	1	0	169,425.3	1
7,839	15,588,560	Nwabugwu	569	Germany	Female	32	8	145,330.43	1	1	1	132,038.65	0
7,840	15,606,003	Abramowitz	566	France	Female	21	3	0	2	1	1	3,626.47	0
7,841	15,611,756	Chapman	537	Germany	Female	47	4	124,192.28	2	1	1	50,881.51	0
7,842	15,789,563	Fiorentino	706	Germany	Female	46	7	111,288.18	1	1	1	149,170.25	1
7,843	15,702,416	Cecil	734	France	Male	43	7	107,805.67	1	0	0	182,505.68	0
7,844	15,766,288	Ikechukwu	586	Germany	Female	36	5	103,700.69	1	1	0	194,072.56	1
7,845	15,667,633	Allen	612	France	Female	38	1	0	2	1	1	9,209.21	0
7,846	15,622,774	Kao	648	France	Male	34	0	0	1	1	1	167,931.81	0
7,847	15,755,416	Hart	557	France	Female	27	3	87,739.08	1	1	1	123,096.56	0
7,848	15,769,915	Charlton	643	Spain	Female	20	0	133,313.34	1	1	1	3,965.69	0
7,849	15,643,908	Turnbull	433	France	Female	49	10	0	1	1	1	87,711.61	0
7,850	15,627,395	Manners	643	Germany	Male	41	7	154,902.66	1	1	1	49,667.28	0
7,851	15,679,663	Chiazagomekpere	488	France	Female	36	0	0	2	1	0	136,675.22	0
7,852	15,651,581	Lavrentyev	758	Germany	Male	68	6	112,595.85	1	1	0	35,865.44	1
7,853	15,596,379	Wallace	743	Germany	Male	39	3	119,695.75	1	0	1	26,136.13	0
7,854	15,746,674	Miller	730	France	Female	47	7	0	1	1	0	33,373.26	1
7,855	15,801,256	Bazhenov	746	Spain	Male	49	7	0	2	0	1	10,096.25	0
7,856	15,663,808	Ifesinachi	666	Germany	Female	59	8	152,614.51	2	1	1	188,782.3	0
7,857	15,598,521	Ma	580	Germany	Female	33	7	131,647.01	2	0	0	79,775.19	0
7,858	15,621,457	Chu	850	France	Male	27	6	96,654.72	2	0	0	152,740.16	0
7,859	15,764,726	Kerr	563	France	Male	22	3	137,583.04	1	0	1	5,791.85	0
7,860	15,646,374	Wynne	766	Germany	Female	28	3	62,717.84	2	1	1	13,182.43	0
7,861	15,716,501	Moon	659	France	Male	32	9	95,377.13	1	0	1	187,551.24	0
7,862	15,589,948	Disher	607	Spain	Male	28	1	135,936.1	2	1	1	110,560.14	0
7,863	15,811,343	Cattaneo	644	Germany	Male	35	5	161,591.11	3	1	1	63,795.62	0
7,864	15,659,677	Beluchi	746	France	Male	47	8	142,382.03	1	1	1	62,086.62	0
7,865	15,594,436	Mazzi	588	Spain	Male	33	2	0	2	1	1	12,483.56	0
7,866	15,748,995	Ifeajuna	691	Spain	Male	30	9	0	2	0	1	10,963.04	0
7,867	15,677,062	Howe	666	France	Female	38	6	127,043.09	1	1	1	8,247	0
7,868	15,697,201	Yocum	640	Spain	Female	46	3	0	1	1	1	156,260.08	0
7,869	15,666,453	Moore	611	Germany	Female	29	4	78,885.88	2	1	1	26,927.69	0
7,870	15,693,771	Y?an	651	Spain	Female	45	8	95,922.9	1	1	0	84,782.42	1
7,871	15,569,867	Chinweuba	529	France	Female	29	8	0	2	1	0	19,842.11	0
7,872	15,711,602	Lowrie	676	France	Female	36	3	91,711.59	1	1	1	95,393.43	0
7,873	15,717,736	Shen	639	Germany	Female	46	10	110,031.09	2	1	1	133,995.59	0
7,874	15,750,441	Lavarack	782	France	Male	36	5	81,210.72	2	0	1	108,003.38	0
7,875	15,732,791	Davide	641	Germany	Male	32	5	122,947.92	1	1	1	99,154.86	0
7,876	15,775,104	Gomes	697	France	Female	38	1	182,065.85	1	1	0	49,503.5	0
7,877	15,757,607	Matveyeva	623	France	Male	45	0	0	1	1	0	196,533.72	1
7,878	15,793,070	Fiorentino	494	Spain	Female	41	2	69,974.66	2	1	0	188,426.13	1
7,879	15,760,456	Eberechukwu	731	France	Female	38	10	123,711.73	2	1	0	171,340.68	1
7,880	15,665,385	Gibney	657	France	Male	44	6	76,495.04	1	1	0	79,071.89	0
7,881	15,612,418	Virgo	744	France	Female	38	9	0	2	0	0	20,940.76	0
7,882	15,727,138	Kulikova	774	Spain	Male	46	9	0	2	1	1	34,774.26	0
7,883	15,732,061	Liu	850	Germany	Female	45	1	121,874.89	1	0	0	6,865.41	1
7,884	15,776,051	Kao	551	France	Female	45	6	0	2	1	1	51,143.43	0
7,885	15,616,530	Foran	638	France	Male	36	6	188,455.19	1	0	0	47,031.4	1
7,886	15,632,344	Jones	792	France	Female	42	0	99,045.93	2	1	0	47,160.01	0
7,887	15,744,979	Fowler	666	France	Female	36	8	0	1	0	1	158,666.99	0
7,888	15,745,433	Conti	716	Germany	Female	30	2	205,770.78	2	0	0	65,464.66	0
7,889	15,683,657	Stephenson	594	France	Female	31	0	79,340.95	1	1	0	78,255.86	0
7,890	15,718,572	Willis	600	Germany	Male	57	9	138,456.03	2	1	1	103,548.25	0
7,891	15,665,783	Ts'ui	565	France	Male	49	7	0	2	1	1	89,609.26	0
7,892	15,652,782	Chibuzo	678	Germany	Male	48	2	101,099.9	2	0	1	193,476.04	0
7,893	15,707,025	Fang	648	Spain	Female	31	5	0	2	1	1	5,199.02	0
7,894	15,647,807	Wyckoff	642	France	Male	40	8	109,219.83	1	1	0	52,827.51	0
7,895	15,718,281	Muir	706	Germany	Male	67	1	123,276.69	2	1	1	86,507.88	1
7,896	15,660,571	Halpern	668	Spain	Male	43	10	113,034.31	1	1	1	100,423.88	0
7,897	15,727,857	Flynn	635	Spain	Male	41	1	0	2	1	0	175,611.5	0
7,898	15,639,252	Shao	603	Spain	Male	30	6	129,548.5	2	1	1	19,282.85	0
7,899	15,628,144	Soares	635	France	Female	72	4	74,812.84	1	0	1	27,448.33	0
7,900	15,683,560	Gallo	642	France	Female	40	7	0	2	1	0	183,963.34	0

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