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
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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