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
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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