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
2,801	15,646,817	Chiekwugo	769	France	Male	51	9	156,773.78	2	1	0	40,257.79	0
2,802	15,596,060	Skinner	498	Spain	Male	29	8	127,864.26	1	1	1	46,677.9	0
2,803	15,723,299	Sorokina	774	France	Male	53	4	113,709.28	1	1	1	153,887.93	1
2,804	15,636,982	Weller	705	Germany	Female	43	7	79,974.55	1	1	1	103,108.33	0
2,805	15,751,175	Bess	648	France	Female	44	2	0	2	1	1	58,652.23	0
2,806	15,618,936	MacDonald	688	France	Female	51	5	0	1	1	0	91,624.11	1
2,807	15,787,529	Gray	592	Spain	Male	38	0	0	1	1	0	65,986.48	1
2,808	15,780,128	Ogbonnaya	705	France	Male	33	3	144,427.96	2	1	0	113,845.19	0
2,809	15,615,991	Udegbulam	654	France	Male	42	7	99,263.09	1	1	1	67,607.9	0
2,810	15,757,001	Mai	624	France	Female	32	2	79,368.87	2	1	1	145,471.94	0
2,811	15,595,388	Yeh	594	France	Female	30	10	0	2	1	1	124,071.71	0
2,812	15,699,550	Babbage	695	Spain	Female	34	9	0	2	1	1	67,502.12	0
2,813	15,581,620	Franklin	597	France	Male	28	2	0	3	1	1	78,707.97	0
2,814	15,600,934	Randell	758	France	Female	52	7	125,095.94	1	1	0	171,189.83	1
2,815	15,738,672	Paterson	737	Germany	Female	40	2	162,485.8	2	1	0	149,381.32	0
2,816	15,721,307	Pickering	694	Germany	Male	37	1	95,668.82	2	1	0	100,335.55	0
2,817	15,619,280	Uspensky	683	France	Male	25	4	0	2	1	0	152,698.24	0
2,818	15,768,244	Macleod	538	Spain	Female	30	8	0	2	1	1	41,192.95	0
2,819	15,806,837	Nnaife	669	France	Male	37	4	0	1	1	0	132,540.33	0
2,820	15,643,496	Randolph	730	France	Female	34	5	74,197.38	2	1	0	96,875.52	0
2,821	15,813,916	Kudryashova	622	France	Female	31	1	89,688.94	1	1	1	152,305.47	0
2,822	15,626,385	George	714	Spain	Female	33	10	103,121.33	2	1	1	49,672.01	0
2,823	15,603,582	Robertson	569	Spain	Female	34	3	0	1	1	0	133,997.53	0
2,824	15,764,351	Yuryeva	668	Germany	Female	59	5	120,170.07	1	0	1	50,454.8	0
2,825	15,667,938	Hurst	628	France	Male	32	9	149,136.31	2	1	1	16,402.11	0
2,826	15,576,360	Ch'iu	600	France	Male	40	1	141,136.79	1	1	1	67,803.83	0
2,827	15,628,813	King	693	France	Female	43	4	152,341.55	1	1	0	9,241.78	0
2,828	15,584,190	Esposito	704	France	Male	36	7	120,026.98	2	0	1	100,601.73	0
2,829	15,716,449	Fraser	527	Spain	Male	33	9	132,168.28	1	0	0	98,734.15	0
2,830	15,759,913	Trentini	553	Germany	Male	43	6	85,200.82	2	1	1	160,574.09	0
2,831	15,701,555	Nicholls	575	Spain	Male	53	1	84,903.33	2	0	1	26,015.8	0
2,832	15,758,482	Montalvo	626	France	Female	32	0	0	2	0	0	187,172.54	0
2,833	15,758,171	Tien	582	France	Male	20	4	0	1	1	1	55,763.66	0
2,834	15,680,346	Chuang	683	Spain	Male	40	8	0	1	1	0	75,848.22	0
2,835	15,649,124	Fang	850	France	Male	30	9	121,535.18	1	0	0	40,313.47	0
2,836	15,812,917	Kosisochukwu	653	Spain	Male	35	6	116,662.96	2	1	1	23,864.21	0
2,837	15,768,455	Young	679	France	Male	60	8	0	2	1	1	51,380.9	0
2,838	15,703,059	Scott	549	Germany	Female	49	6	124,829.16	1	0	1	93,551.36	0
2,839	15,646,196	Yeh	850	Spain	Female	36	2	155,180.56	2	0	0	169,415.54	0
2,840	15,585,451	Vigano	558	Germany	Female	32	1	108,262.87	1	1	1	6,935.31	0
2,841	15,714,057	Windradyne	528	Spain	Male	40	4	0	2	1	0	25,399.7	0
2,842	15,748,473	Curnow	801	France	Male	38	5	0	2	1	0	66,256.27	0
2,843	15,785,782	Ugonna	513	Spain	Male	48	2	0	1	1	1	114,709.13	1
2,844	15,693,233	De Neeve	666	Germany	Male	38	6	99,812.88	2	1	1	158,357.97	0
2,845	15,757,521	Ricci	606	France	Male	35	2	132,164.26	1	0	1	164,815.59	0
2,846	15,812,513	Nnaife	599	Germany	Male	45	10	103,583.05	1	1	0	132,127.69	1
2,847	15,674,950	Ebelechukwu	544	Germany	Male	39	4	142,406.43	2	1	0	146,637.45	0
2,848	15,678,572	Keating	529	Spain	Male	38	7	99,842.5	2	1	0	90,256.06	1
2,849	15,713,608	Tuan	850	France	Female	41	5	0	2	1	1	34,827.43	0
2,850	15,579,262	Shearston	497	France	Male	41	9	0	1	0	0	22,074.48	0
2,851	15,610,426	Tien	764	France	Female	39	5	81,042.42	1	0	1	109,805.17	0
2,852	15,776,454	Hamilton	603	France	Female	48	5	0	1	1	0	100,478.6	1
2,853	15,771,483	Arnold	609	France	Male	40	6	0	2	1	1	97,416.34	0
2,854	15,648,489	Ting	487	France	Male	53	4	199,689.49	1	1	1	24,207.86	1
2,855	15,646,609	Chao	748	France	Male	33	1	142,645.43	1	0	0	69,132.66	0
2,856	15,693,203	Powell	710	Spain	Female	75	5	0	2	1	1	9,376.89	0
2,857	15,813,067	Williams	432	Germany	Female	45	3	110,219.14	1	1	0	43,046.7	1
2,858	15,769,829	Cheng	534	Spain	Male	51	3	0	2	0	1	20,856.31	0
2,859	15,662,434	Zhdanova	607	France	Male	25	3	0	2	0	0	187,048.72	0
2,860	15,773,503	Tsai	551	Spain	Male	32	4	0	2	1	0	53,420.53	0
2,861	15,705,890	Nebechukwu	674	France	Male	45	7	142,072.02	1	1	0	37,013.29	0
2,862	15,711,398	Fetherstonhaugh	525	France	Female	25	6	0	2	1	0	89,566.64	0
2,863	15,752,375	Ojiofor	645	Germany	Male	33	8	149,564.61	1	0	0	149,913.84	0
2,864	15,659,175	Severson	755	France	Female	43	9	0	2	1	0	18,066.69	0
2,865	15,597,033	Speight	708	Germany	Male	37	8	153,366.13	1	1	1	26,912.34	0
2,866	15,590,228	Greenwalt	715	France	Male	21	6	76,467.16	1	1	1	173,511.72	0
2,867	15,631,848	Grover	727	France	Female	26	9	121,508.28	1	1	1	146,785.44	0
2,868	15,654,211	Milani	559	Spain	Female	27	1	0	1	0	1	1,050.33	0
2,869	15,707,968	Akobundu	545	Spain	Male	36	8	73,211.12	2	1	0	89,587.34	1
2,870	15,594,084	Anderson	524	France	Male	22	9	0	2	1	0	74,405.34	0
2,871	15,651,093	Chien	707	France	Female	55	1	0	2	0	1	54,409.48	0
2,872	15,798,824	Kennedy	671	Spain	Male	38	0	92,674.94	2	1	0	3,647.57	0
2,873	15,671,591	Castiglione	439	Spain	Male	52	3	96,196.24	4	1	0	198,874.52	1
2,874	15,707,189	Marshall	667	Germany	Female	36	1	114,391.62	1	1	1	53,412.54	0
2,875	15,733,581	Duncan	831	Germany	Male	32	9	80,262.66	1	1	0	194,867.78	0
2,876	15,641,640	Uspenskaya	545	Spain	Female	33	7	173,331.52	1	1	0	150,452.88	0
2,877	15,585,284	Thomson	604	Spain	Female	35	7	147,285.52	1	1	1	57,807.05	0
2,878	15,617,866	Calabrese	657	Spain	Male	67	5	119,785.47	2	1	1	107,534.32	0
2,879	15,667,751	Herrera	487	Spain	Female	36	1	140,137.15	1	1	0	194,073.33	0
2,880	15,669,411	Muse	750	Germany	Female	52	6	107,467.56	1	1	0	126,233.18	1
2,881	15,789,425	Marsden	694	Germany	Female	37	8	98,218.04	2	1	0	182,354.46	1
2,882	15,570,943	Artemyeva	711	Germany	Female	35	2	133,607.75	1	1	1	120,586.32	0
2,883	15,685,829	McKay	551	France	Male	37	3	0	2	1	1	50,578.4	0
2,884	15,721,917	Chuang	559	France	Female	38	8	95,139.41	1	1	1	86,575.46	0
2,885	15,776,047	Nicholls	620	France	Female	29	3	0	2	0	1	153,392.28	0
2,886	15,716,024	Dennis	660	Spain	Male	42	5	0	2	1	0	115,509.59	0
2,887	15,675,328	Knight	449	France	Female	37	6	0	2	1	0	82,176.48	0
2,888	15,604,314	Webb	703	Germany	Female	26	1	97,331.19	1	1	0	63,717.49	0
2,889	15,658,339	Pugliesi	795	Germany	Male	37	2	139,265.63	2	1	1	198,745.94	0
2,890	15,630,402	Nebechukwu	594	France	Female	31	9	0	1	0	1	5,719.11	0
2,891	15,689,616	Ward	586	Spain	Male	34	5	168,094.01	1	0	0	20,058.61	0
2,892	15,774,224	Nixon	613	Germany	Female	30	5	131,563.88	2	1	0	170,638.98	0
2,893	15,701,291	Chidubem	601	France	Male	44	3	0	2	1	0	30,607.11	0
2,894	15,719,606	Rivers	657	France	Male	50	9	0	2	0	0	37,171.46	0
2,895	15,644,119	Sochima	531	France	Male	31	3	0	1	1	1	42,589.33	0
2,896	15,646,859	Heydon	621	Germany	Male	47	7	107,363.29	1	1	1	66,799.28	0
2,897	15,606,836	Lombardo	782	France	Female	33	2	94,493.03	1	0	1	101,866.39	0
2,898	15,664,150	Holland	528	Germany	Female	29	9	170,214.23	2	1	0	49,284	0
2,899	15,624,510	Tien	696	France	Male	52	6	139,781.06	1	1	0	27,445.4	1
2,900	15,810,944	Bryant	586	France	Female	35	7	0	2	1	0	70,760.69	0

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