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
8,701	15,627,637	Obioma	709	Germany	Male	23	8	73,314.04	2	1	0	63,446.47	0
8,702	15,667,093	Onio	673	France	Male	37	2	0	1	1	1	13,624.02	0
8,703	15,690,589	Udinesi	541	France	Male	37	9	212,314.03	1	0	1	148,814.54	0
8,704	15,595,350	Fermin	661	France	Female	31	3	136,067.82	2	1	0	65,567.91	0
8,705	15,777,586	Moss	784	Spain	Female	42	2	109,052.04	2	1	0	6,409.55	0
8,706	15,804,064	Docherty	742	France	Female	35	2	79,126.17	1	1	1	126,997.53	0
8,707	15,717,770	Marcelo	850	Spain	Female	55	7	0	1	0	0	171,762.87	1
8,708	15,754,443	Fadden	443	France	Female	35	9	108,308	1	1	0	129,031.19	1
8,709	15,776,939	Zox	778	Germany	Female	48	3	102,290.56	2	1	0	182,691.31	0
8,710	15,713,517	Otitodilinna	529	France	Male	39	6	102,025.08	2	1	0	12,351.01	0
8,711	15,683,522	Kennedy	678	Germany	Female	37	2	113,383.07	1	1	1	135,123.96	0
8,712	15,673,995	Tu	516	Spain	Female	65	9	102,541.1	1	1	0	181,490.42	0
8,713	15,771,054	Barnes	469	Spain	Male	35	5	0	2	1	0	186,490.37	0
8,714	15,578,788	Bibi	786	Spain	Male	40	6	0	2	0	0	41,248.8	0
8,715	15,737,408	L?	703	France	Female	41	6	109,941.51	1	1	0	116,267.28	0
8,716	15,750,837	Landseer	579	Germany	Male	41	0	141,749.68	1	0	1	9,201.53	0
8,717	15,576,022	Nwachinemelu	565	France	Male	38	5	0	2	0	1	80,630.32	0
8,718	15,635,502	Ch'iu	443	France	Male	44	2	0	1	1	0	159,165.7	0
8,719	15,627,298	Vinogradova	589	France	Male	37	7	85,146.48	2	1	0	86,490.09	1
8,720	15,811,415	Jenks	691	France	Female	44	6	134,066.1	2	1	1	197,572.41	0
8,721	15,645,059	Crace	711	France	Female	28	8	0	2	0	0	105,159.89	0
8,722	15,689,671	Packham	775	Spain	Male	27	4	0	1	1	1	40,807.26	0
8,723	15,718,667	T'ien	621	France	Male	35	7	87,619.29	1	1	0	143.34	0
8,724	15,803,202	Onyekachi	350	France	Male	51	10	0	1	1	1	125,823.79	1
8,725	15,593,683	Solomina	668	Spain	Female	30	8	0	2	1	0	138,465.7	0
8,726	15,703,394	Hawes	633	Spain	Male	27	3	0	2	1	0	44,008.91	0
8,727	15,570,289	Benson	697	Germany	Male	43	8	103,409.16	1	1	0	66,893.28	1
8,728	15,567,437	Emenike	734	Germany	Female	30	7	123,040.38	1	1	1	76,503.06	0
8,729	15,711,687	Nero	434	France	Male	41	4	108,128.52	1	0	1	56,784.11	0
8,730	15,656,592	Toscano	646	Germany	Male	48	8	169,023.33	2	1	1	175,657.55	0
8,731	15,634,373	Yang	764	France	Male	30	5	0	2	0	1	105,155.66	0
8,732	15,769,125	Palerma	727	Spain	Female	41	10	0	2	0	1	47,468.56	0
8,733	15,711,386	Trentini	724	France	Female	29	6	0	2	0	1	64,729.51	0
8,734	15,714,241	Haddon	749	Spain	Male	42	9	222,267.63	1	0	0	101,108.85	1
8,735	15,642,530	Coates	706	Germany	Female	47	10	144,090.42	1	1	0	140,938.95	1
8,736	15,713,599	Castiglione	728	France	Male	30	10	114,835.43	1	0	1	37,662.49	0
8,737	15,744,770	Stone	636	France	Male	44	2	0	2	0	0	86,414.41	0
8,738	15,780,498	Maynard	634	France	Male	34	3	145,030.92	1	1	1	41,820.65	0
8,739	15,624,397	Moore	627	France	Male	43	8	71,240.3	1	0	1	127,734.16	0
8,740	15,615,219	Obielumani	518	France	Male	59	5	138,772.15	1	0	1	123,872	0
8,741	15,570,908	Harding	687	Spain	Female	29	7	93,617.07	1	0	1	113,050.92	0
8,742	15,762,855	Hill	622	Spain	Female	23	8	0	2	1	1	131,389.39	0
8,743	15,661,827	Brown	693	Spain	Female	45	4	0	2	1	1	26,589.56	0
8,744	15,746,035	Pagnotto	450	Spain	Male	25	9	74,237.2	2	0	1	195,463.35	0
8,745	15,691,906	Esposito	664	Germany	Female	49	5	127,421.78	2	1	0	108,876.75	1
8,746	15,793,424	Tan	663	Spain	Female	28	8	61,274.7	2	1	0	136,054.45	0
8,747	15,577,905	Hammond	660	France	Male	34	8	106,486.66	2	0	1	182,262.66	0
8,748	15,667,216	Chung	579	France	Female	29	10	73,194.52	2	1	1	129,209.09	0
8,749	15,673,971	Houghton	655	Germany	Female	44	6	146,498.76	1	1	0	64,853.51	1
8,750	15,701,238	Chia	683	France	Male	47	1	0	2	1	0	148,989.15	0
8,751	15,644,849	Zikoranachidimma	655	France	Female	32	2	0	1	1	1	71,047.51	0
8,752	15,635,531	Boag	575	Spain	Female	30	8	0	2	1	0	185,341.63	0
8,753	15,632,263	Pagnotto	574	Spain	Male	30	5	120,355	1	1	0	137,793.35	0
8,754	15,720,110	Oluchukwu	795	France	Male	32	2	117,265.21	1	1	1	198,317.23	0
8,755	15,619,045	Baxter	776	France	Female	43	4	0	2	0	1	162,137.5	0
8,756	15,697,510	Tien	707	Spain	Female	52	7	0	1	1	0	109,688.82	1
8,757	15,784,923	Chimezie	705	Germany	Female	37	3	109,974.22	1	1	1	36,320.87	1
8,758	15,567,383	Slone	678	Germany	Female	44	2	98,009.13	2	0	1	31,384.86	0
8,759	15,732,621	Martin	663	France	Male	34	10	0	1	1	1	114,083.73	0
8,760	15,757,981	Loggia	748	France	Male	66	8	0	1	1	1	163,331.65	0
8,761	15,727,819	Hartley	677	Spain	Female	34	10	171,671.9	1	1	1	50,777.77	0
8,762	15,738,088	Parkin	634	Spain	Male	63	10	0	2	1	0	30,772.86	1
8,763	15,765,173	Lin	350	France	Female	60	3	0	1	0	0	113,796.15	1
8,764	15,665,159	Brooks	727	France	Male	61	0	128,213.96	2	1	1	188,729.08	1
8,765	15,618,203	Tien	773	Germany	Male	51	8	116,197.65	2	1	1	86,701.4	0
8,766	15,791,452	Dann	675	France	Male	39	1	0	2	1	0	153,129.22	0
8,767	15,638,159	Trentino	649	Spain	Female	36	6	86,607.39	1	0	0	19,825.09	0
8,768	15,585,466	Russo	552	France	Male	29	10	0	2	1	0	12,186.83	0
8,769	15,677,310	Christie	761	Germany	Male	62	5	98,854.34	1	0	0	86,920.97	1
8,770	15,646,262	Ross	622	France	Male	31	7	0	1	1	0	35,408.77	0
8,771	15,656,901	Nnonso	615	France	Male	59	8	0	2	1	1	165,576.55	0
8,772	15,621,093	Teng	681	Germany	Male	31	4	97,338.19	2	0	0	48,226.76	0
8,773	15,592,123	Buccho	768	France	Male	30	6	0	2	1	1	199,454.37	0
8,774	15,589,200	Madukaife	617	Spain	Male	34	9	0	2	1	0	118,749.58	0
8,775	15,602,934	Dunn	452	France	Female	33	6	131,698.57	2	1	0	151,623.91	0
8,776	15,812,720	Hooker	807	Germany	Male	37	10	130,110.45	2	0	1	172,097.95	0
8,777	15,695,383	Griffin	567	Spain	Male	44	9	0	2	1	0	87,677.15	0
8,778	15,723,064	Kistler	603	Spain	Male	24	1	165,149.13	2	1	0	21,858.28	0
8,779	15,761,606	Law	617	Spain	Female	37	9	101,707.8	1	1	0	123,866.28	0
8,780	15,650,322	Grigoryeva	701	France	Female	34	3	105,588.66	1	0	1	74,694.41	0
8,781	15,669,782	Chu	820	Germany	Male	39	9	111,336.89	1	1	0	16,770.31	1
8,782	15,751,628	Onyemachukwu	438	France	Male	60	7	78,391.17	1	0	1	49,424.6	0
8,783	15,809,057	Lu	600	Spain	Female	27	6	0	2	1	1	172,031.22	0
8,784	15,617,052	Watson	782	France	Male	34	9	0	1	1	0	183,021.06	1
8,785	15,590,810	Fallaci	638	Germany	Female	41	9	144,326.09	1	1	0	73,979.85	1
8,786	15,801,293	Ni	850	Germany	Male	27	1	101,278.25	2	1	1	26,265.18	0
8,787	15,770,968	Leason	741	Germany	Female	19	8	108,711.57	2	1	0	24,857.25	0
8,788	15,572,356	Tsai	689	Spain	Male	73	1	108,555.07	1	0	1	167,969.15	0
8,789	15,603,247	Bruner	743	Germany	Female	35	1	146,781.24	1	1	0	189,307.7	0
8,790	15,619,116	Wallace	493	France	Female	36	2	0	2	0	1	99,770.3	0
8,791	15,691,792	Young	416	Spain	Male	35	8	0	1	0	0	119,712.78	0
8,792	15,783,276	Forbes	725	France	Female	25	9	0	2	1	1	168,607.74	0
8,793	15,766,137	Muir	497	France	Male	34	2	0	2	1	1	83,087.13	0
8,794	15,574,554	Pugh	537	Germany	Male	66	8	103,291.25	2	1	1	130,664.79	0
8,795	15,578,671	Webb	706	Spain	Female	29	1	209,490.21	1	1	1	133,267.69	1
8,796	15,716,608	Walker	651	Spain	Male	38	2	0	3	1	0	67,029.82	1
8,797	15,690,670	Cox	720	France	Male	33	2	0	2	0	1	141,031.08	0
8,798	15,630,466	Maclean	797	France	Male	45	8	0	1	0	0	125,110.02	0
8,799	15,630,349	Hollis	543	Spain	Male	23	5	0	2	1	0	117,832.39	0
8,800	15,803,801	Jamieson	454	France	Male	34	4	0	2	1	0	198,817.72	0

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