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
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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