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
9,601	15,570,533	Conti	621	Germany	Female	55	7	131,033.76	1	0	1	75,685.59	1
9,602	15,797,692	Volkova	659	France	Female	33	7	89,939.62	1	1	0	136,540.09	0
9,603	15,603,135	Boni	634	Germany	Female	59	3	95,727.05	1	0	0	97,939.4	1
9,604	15,698,927	Ritchie	675	France	Male	39	7	0	2	0	1	36,267.21	0
9,605	15,687,363	McMillan	770	France	Male	31	3	155,047.56	2	1	1	186,064.34	0
9,606	15,733,444	Phillips	736	France	Female	29	9	0	2	0	0	176,152.7	0
9,607	15,678,057	Lombardi	524	France	Male	44	10	118,569.03	2	0	0	82,117.2	0
9,608	15,806,918	Ireland	674	France	Male	28	5	0	1	1	1	151,925.25	0
9,609	15,638,247	Boan	700	Spain	Male	44	9	0	2	1	0	142,287.65	0
9,610	15,674,833	Shao	741	France	Female	35	1	0	2	1	0	36,557.55	0
9,611	15,812,534	Chiemenam	455	France	Male	40	1	0	3	0	1	129,975.34	0
9,612	15,586,522	Hunter	608	Spain	Male	37	2	130,461.02	1	1	0	21,967.15	0
9,613	15,794,297	McKay	776	France	Male	36	1	0	2	1	0	53,477.76	0
9,614	15,737,025	Roberts	635	France	Male	33	1	0	3	0	0	178,067.33	1
9,615	15,615,931	Aitken	746	France	Female	37	4	0	2	0	1	171,039.56	0
9,616	15,664,860	Chao	692	Spain	Female	47	3	0	2	1	0	150,802.41	1
9,617	15,664,539	Bruce	683	Spain	Male	35	9	61,172.04	1	0	0	82,951.12	0
9,618	15,583,692	Chan	591	Germany	Female	35	2	90,194.34	2	1	0	57,064.57	0
9,619	15,693,131	Watts	581	France	Female	24	3	95,508.2	1	1	1	45,755	0
9,620	15,779,973	Gibbons	684	Germany	Male	35	3	99,967.76	1	1	1	176,882.08	0
9,621	15,620,557	Ni	561	Spain	Male	37	4	101,470.29	1	0	1	88,838.14	0
9,622	15,639,549	Jen	718	Germany	Female	33	4	70,541.06	1	0	0	88,592.8	0
9,623	15,618,750	Phillips	590	France	Male	31	8	112,211.61	1	1	0	26,261.42	0
9,624	15,796,790	Amaechi	573	France	Female	47	8	154,543.98	1	1	0	29,586.73	0
9,625	15,668,309	Maslow	350	France	Female	40	0	111,098.85	1	1	1	172,321.21	1
9,626	15,732,437	Rowley	504	Germany	Female	44	0	131,873.07	2	1	1	158,036.72	1
9,627	15,665,158	Chukwuemeka	813	Spain	Male	27	1	137,275.36	1	0	1	115,733.16	0
9,628	15,689,322	Bevan	641	Spain	Male	31	3	153,316.14	1	1	0	59,927.99	0
9,629	15,596,624	Topp	662	France	Female	22	9	0	2	1	1	44,377.65	0
9,630	15,601,977	Burgoyne	497	Spain	Male	44	2	121,250.04	1	0	1	79,691.4	0
9,631	15,801,462	Yermakov	716	France	Male	31	8	109,578.04	2	1	1	51,503.51	0
9,632	15,566,139	Ts'ui	526	France	Female	37	5	53,573.18	1	1	0	62,830.97	0
9,633	15,791,006	Kodilinyechukwu	760	Germany	Female	34	6	58,003.41	1	1	0	90,346.1	0
9,634	15,668,057	K?	669	France	Female	31	6	113,000.66	1	1	0	40,467.82	0
9,635	15,580,805	Marino	655	France	Male	27	10	0	2	1	0	51,620.94	0
9,636	15,658,768	Lucas	547	France	Female	49	2	0	1	0	0	65,466.93	1
9,637	15,613,048	Anderson	648	Germany	Female	40	5	139,973.65	1	1	1	667.66	1
9,638	15,803,654	Wei	790	France	Female	31	2	151,290.16	1	1	1	172,437.12	0
9,639	15,662,337	Baldwin	744	Germany	Female	50	1	121,498.11	2	0	1	106,061.47	1
9,640	15,650,924	Foster	761	Spain	Female	32	4	103,515.39	2	1	1	177,622.38	0
9,641	15,647,203	Gebhart	750	France	Female	35	3	0	1	1	0	191,520.5	0
9,642	15,682,778	Fedorov	680	France	Male	34	9	0	2	1	1	95,686.6	0
9,643	15,579,820	Robertson	704	Spain	Male	38	6	106,687.76	1	1	0	173,776.5	0
9,644	15,709,354	Tudawali	521	France	Female	41	2	0	2	1	1	113,089.43	0
9,645	15,728,480	Iloerika	452	France	Female	35	8	0	2	1	1	149,614.81	0
9,646	15,641,091	Onyemauchechukwu	695	France	Female	31	5	106,089.2	1	0	0	99,537.68	0
9,647	15,603,111	Muir	850	Spain	Male	71	10	69,608.14	1	1	0	97,893.4	1
9,648	15,679,693	Walker	625	France	Male	31	5	0	2	0	1	90.07	0
9,649	15,797,190	Charlton	608	Germany	Female	40	7	96,202.32	1	0	0	161,154.85	0
9,650	15,788,025	Tseng	715	France	Female	38	0	0	2	1	1	332.81	0
9,651	15,646,168	Ifeatu	834	Spain	Male	33	5	0	2	1	0	66,285.18	0
9,652	15,580,493	Chin	469	France	Male	33	1	127,818.52	1	1	0	163,477.22	0
9,653	15,726,720	Blinova	480	France	Female	40	7	0	1	1	0	170,332.67	1
9,654	15,735,799	Maconochie	527	Germany	Male	58	3	137,318.42	1	1	1	126,144.96	0
9,655	15,773,098	Ch'in	834	Spain	Male	34	5	0	2	0	0	53,437.1	0
9,656	15,668,971	Nicholson	583	France	Female	40	4	55,776.39	2	1	0	26,920.43	0
9,657	15,603,221	Burgess	696	Germany	Male	32	4	84,421.62	1	0	1	52,314.71	0
9,658	15,740,043	Young	606	France	Male	32	5	83,161.65	1	1	1	116,885.59	0
9,659	15,712,264	Plumb	713	France	Female	39	10	0	2	1	1	126,263.97	0
9,660	15,751,926	Trentino	821	Germany	Male	42	3	87,807.29	2	1	1	64,613.81	0
9,661	15,589,401	Allen	550	France	Female	30	4	0	2	1	0	89,216.29	0
9,662	15,742,019	Benford	675	France	Female	39	6	0	2	0	0	83,419.15	0
9,663	15,660,611	Gallo	748	Spain	Male	39	3	0	2	1	1	123,998.52	0
9,664	15,607,634	Cobb	606	Germany	Male	40	9	95,293.86	2	0	1	96,985.58	0
9,665	15,595,036	Doherty	726	Germany	Male	30	7	92,847.59	1	1	0	146,154.06	0
9,666	15,745,794	Cocci	547	France	Male	30	6	0	2	1	1	18,471.86	0
9,667	15,781,689	Macadam	758	Spain	Male	35	5	0	2	1	0	95,009.6	0
9,668	15,696,054	Tychonoff	596	France	Male	37	2	0	1	0	1	121,175.86	0
9,669	15,752,467	Johnson	720	Spain	Male	34	3	0	2	1	1	77,047.78	0
9,670	15,597,739	Tu	674	France	Male	37	3	0	1	1	0	158,049.9	0
9,671	15,651,336	Chidiebere	756	France	Female	32	4	0	2	1	0	147,040.25	0
9,672	15,636,061	Pope	649	Germany	Male	78	4	68,345.86	2	1	1	142,566.75	0
9,673	15,723,013	Sutherland	613	Germany	Male	28	7	76,656.4	2	1	1	185,483.24	0
9,674	15,784,148	Beneventi	643	France	Male	62	9	0	2	0	0	155,870.82	0
9,675	15,578,098	Jamieson	600	France	Male	31	8	0	2	1	1	121,555.51	0
9,676	15,638,621	Simmons	735	Spain	Male	39	1	60,374.98	1	1	0	40,223.74	0
9,677	15,720,924	Chijioke	585	France	Female	34	1	0	1	1	1	75,503.6	0
9,678	15,566,531	Iloerika	724	Germany	Male	33	4	88,046.88	1	0	1	186,942.49	1
9,679	15,718,064	Chia	635	Spain	Male	29	2	0	2	0	0	117,173.8	0
9,680	15,605,067	Nwachinemelu	472	France	Male	19	9	0	2	1	0	3,453.4	0
9,681	15,655,335	Becher	590	France	Male	36	1	0	2	1	0	48,876.84	0
9,682	15,607,301	Romano	651	Spain	Female	63	8	129,968.67	1	1	1	11,830.53	0
9,683	15,694,628	Walker	686	Germany	Female	39	4	157,731.6	2	1	0	162,820.6	0
9,684	15,607,112	Chiawuotu	606	France	Male	32	6	0	2	0	1	36,540.63	0
9,685	15,635,775	Watt	781	France	Male	33	3	89,276.48	1	1	0	6,959	0
9,686	15,644,280	Udegbunam	593	France	Male	45	4	138,825.19	1	0	0	10,828.78	0
9,687	15,708,362	Watson	793	France	Male	63	4	103,729.79	2	1	1	80,272.06	0
9,688	15,771,997	Bryant	791	France	Female	31	10	75,499.24	1	1	0	22,184.14	0
9,689	15,730,579	Ward	850	France	Male	68	5	169,445.4	1	1	1	186,335.07	0
9,690	15,728,005	Urban	698	France	Female	57	9	111,359.55	2	1	0	105,715.01	0
9,691	15,791,674	Sutherland	846	France	Female	34	10	142,388.61	2	0	1	68,393.64	1
9,692	15,754,599	K'ung	765	France	Male	42	4	123,311.39	2	1	1	82,868.34	0
9,693	15,693,690	Iweobiegbunam	574	Spain	Male	52	7	115,532.52	1	1	0	196,257.67	0
9,694	15,728,963	Wei	617	Germany	Female	51	10	167,273.71	1	0	0	93,439.75	1
9,695	15,659,710	Lascelles	581	France	Male	25	5	77,886.53	2	1	0	150,319.49	0
9,696	15,658,675	Ts'ao	710	Germany	Male	37	6	135,795.63	1	0	1	46,523.6	0
9,697	15,638,788	Mack	550	France	Male	32	8	97,514.07	1	1	1	199,138.84	0
9,698	15,609,735	Campbell	533	Germany	Male	51	6	127,545.56	2	0	0	79,559.02	1
9,699	15,771,477	Fiorentini	779	France	Male	49	9	106,160.37	1	0	0	116,893.87	0
9,700	15,570,145	Long	763	France	Female	23	2	0	2	1	0	153,983.99	0

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