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
3,601	15,573,599	Adamson	506	France	Female	57	6	0	2	0	1	194,421.12	1
3,602	15,747,208	Watt	608	France	Male	50	6	0	1	1	0	93,568.77	1
3,603	15,582,762	Mazzanti	667	Spain	Male	77	2	0	1	1	1	34,702.92	0
3,604	15,772,528	Mishin	750	France	Female	47	7	121,376.15	2	1	0	54,473.6	1
3,605	15,755,798	Feng	610	France	Male	33	4	111,582.11	1	0	0	113,943.17	0
3,606	15,788,683	Kang	588	Germany	Female	34	10	129,417.82	1	1	0	153,727.32	0
3,607	15,616,922	Kelly	479	France	Female	26	1	0	2	1	1	19,116.97	0
3,608	15,771,855	Yu	682	France	Male	37	5	0	2	0	1	112,554.68	0
3,609	15,601,873	Bull	677	France	Female	36	7	0	1	1	0	47,318.75	0
3,610	15,657,868	Serra	850	Germany	Male	40	6	94,607.08	1	1	0	36,690.49	0
3,611	15,711,716	Ferguson	580	France	Female	56	1	131,368.3	1	1	0	106,918.67	1
3,612	15,734,246	She	746	France	Female	21	8	166,883.07	2	0	1	194,563.65	0
3,613	15,792,151	Hamilton	635	Spain	Female	37	3	0	2	1	0	91,086.73	0
3,614	15,770,159	Nnanna	664	Germany	Male	25	6	172,812.72	2	1	1	108,008.65	0
3,615	15,747,649	Summerville	558	Germany	Female	36	0	126,606.63	2	1	1	172,363.52	0
3,616	15,639,357	Allan	415	France	Male	46	9	134,950.19	3	0	0	178,587.36	1
3,617	15,738,907	Tobenna	798	France	Female	60	6	96,956.1	1	1	0	31,907.44	1
3,618	15,663,446	Volkova	792	Germany	Female	29	4	107,601.79	1	1	0	18,922.18	1
3,619	15,750,867	Nucci	489	Germany	Female	46	8	92,060.06	1	1	0	147,222.95	1
3,620	15,715,939	Wright	730	France	Male	33	0	0	2	1	0	1,474.79	0
3,621	15,763,806	Astorga	773	France	Male	41	4	0	2	1	1	24,924.92	0
3,622	15,637,993	Pokrovsky	711	France	Male	36	9	137,688.71	1	1	1	46,884.1	0
3,623	15,720,338	Mazzanti	592	Spain	Male	55	8	85,845.43	2	1	1	128,918.42	0
3,624	15,627,162	Blesing	695	Germany	Male	27	6	125,552.96	1	1	0	105,291.26	0
3,625	15,596,710	Ku	640	France	Female	33	1	167,298.42	1	0	1	145,381.65	0
3,626	15,781,678	Pisani	470	Spain	Male	31	4	55,732.92	2	1	1	103,792.53	0
3,627	15,634,968	Hsueh	789	Germany	Female	37	6	110,689.07	1	1	1	71,121.04	1
3,628	15,609,475	Ricci	604	Spain	Female	39	7	98,544.11	1	1	1	52,327.57	0
3,629	15,573,319	Azubuike	493	Germany	Female	35	8	178,317.6	1	0	0	197,428.64	0
3,630	15,738,291	Nevzorova	671	France	Female	48	8	115,713.84	2	0	0	83,210.84	0
3,631	15,782,456	Odili	656	France	Male	46	9	143,267.14	2	0	0	193,099.43	0
3,632	15,794,841	Kung	739	Spain	Male	19	5	89,750.21	1	1	0	193,008.52	0
3,633	15,684,696	Lei	560	Spain	Female	26	3	116,576.45	1	1	0	157,567.37	0
3,634	15,629,846	Sheehan	827	Germany	Female	47	8	143,001.5	2	1	0	108,977.5	0
3,635	15,674,442	Kung	681	France	Male	23	7	157,761.56	1	0	0	147,759.84	0
3,636	15,571,689	Kelechi	740	France	Female	37	5	0	2	1	1	27,528.4	0
3,637	15,730,469	Anenechi	663	Spain	Male	31	4	103,430.11	2	0	1	36,479.27	0
3,638	15,809,320	McElhone	845	Spain	Female	52	0	0	1	1	0	31,726.76	1
3,639	15,684,367	Chigbogu	555	Spain	Male	27	5	0	2	0	0	96,398.51	0
3,640	15,793,049	Atkins	680	Germany	Female	48	8	115,115.38	1	1	0	139,558.6	1
3,641	15,603,665	Colombo	638	Germany	Female	39	0	122,501.28	2	1	1	95,007.8	0
3,642	15,613,623	Tilley	640	Spain	Male	62	3	0	1	1	1	101,663.47	0
3,643	15,569,572	Sopuluchi	778	France	Male	42	6	0	2	1	1	106,197.44	0
3,644	15,698,791	Udinesi	679	France	Male	45	3	146,758.24	1	1	0	48,466.89	0
3,645	15,626,233	Onyekachi	593	France	Female	32	3	0	2	1	1	151,978.36	0
3,646	15,607,263	McCartney	788	France	Male	55	3	0	1	0	1	13,288.46	1
3,647	15,610,900	Thompson	770	France	Female	70	9	110,738.89	1	1	0	22,666.77	1
3,648	15,624,775	Onyeoruru	729	France	Male	67	2	94,203.8	1	0	1	102,391.06	0
3,649	15,691,703	Shih	545	France	Male	47	8	105,792.49	1	0	1	67,830.2	1
3,650	15,745,355	Golibe	597	France	Male	41	4	153,198.23	1	1	1	92,090.36	0
3,651	15,724,955	Lucchesi	537	France	Male	38	3	0	2	0	0	141,023.01	0
3,652	15,628,999	Townsend	732	France	Male	79	10	61,811.23	1	1	1	104,222.8	0
3,653	15,654,341	Chao	542	France	Male	34	8	101,116.06	1	1	0	196,395.05	0
3,654	15,744,240	Shen	688	Germany	Female	46	0	74,458.25	1	0	1	6,866.31	0
3,655	15,632,365	Booth	542	Germany	Male	33	8	142,871.27	2	0	0	77,737.86	0
3,656	15,729,689	Chan	754	Germany	Male	35	6	98,585.94	2	0	1	106,116.84	0
3,657	15,759,284	Yeh	750	France	Female	37	6	0	1	1	1	117,948	1
3,658	15,602,124	Badgery	731	France	Male	30	7	0	2	1	1	184,581.68	0
3,659	15,661,903	Hsia	699	France	Female	43	3	80,764.03	1	1	0	199,378.58	1
3,660	15,664,668	Zarate	534	France	Female	42	9	144,801.97	1	0	1	12,483.39	1
3,661	15,736,431	Congreve	494	Spain	Male	27	2	0	2	1	0	22,404.64	0
3,662	15,748,639	Hayslett	497	Germany	Male	35	7	110,053.62	2	1	1	92,887.06	0
3,663	15,628,123	Robinson	632	France	Female	28	5	118,890.81	1	0	1	145,157.97	0
3,664	15,602,731	Wong	724	France	Male	31	5	0	1	1	0	134,889.95	1
3,665	15,794,137	Nevzorova	751	Germany	Female	37	0	151,218.98	1	1	1	109,309.29	0
3,666	15,748,696	Page	733	France	Male	42	9	150,507.21	1	0	1	169,964.12	0
3,667	15,725,068	Quinn	701	Spain	Female	21	9	0	2	1	1	26,327.42	0
3,668	15,807,340	O'Donnell	525	Germany	Male	33	4	131,023.76	2	0	0	55,072.93	0
3,669	15,586,133	Pisano	666	Germany	Female	44	2	122,314.5	1	0	0	68,574.88	1
3,670	15,576,185	Sinclair	653	France	Male	29	2	0	2	1	1	41,671.81	0
3,671	15,660,809	Loving	850	France	Male	28	4	0	2	1	1	12,409.01	0
3,672	15,616,666	Artemova	646	Germany	Female	52	6	111,739.4	2	0	1	68,367.18	0
3,673	15,706,904	Robertson	750	France	Male	43	6	113,882.31	1	1	1	74,564.41	0
3,674	15,606,915	Genovese	764	France	Male	24	7	98,148.61	1	1	0	26,843.76	0
3,675	15,749,693	Ugonnatubelum	658	France	Female	32	9	0	2	1	0	156,774.75	0
3,676	15,791,743	Corbett	727	France	Male	32	1	59,271.82	1	1	1	46,019.43	0
3,677	15,796,480	Reilly	687	France	Female	31	2	0	2	0	1	145,411.39	0
3,678	15,790,442	Wright	631	Spain	Male	33	2	0	2	1	1	158,268.84	0
3,679	15,609,458	Vincent	797	France	Male	30	10	69,413.44	1	1	1	74,637.57	0
3,680	15,593,897	Carr	650	Spain	Male	25	7	160,599.06	2	1	1	28,391.52	0
3,681	15,604,576	Eiland	850	Spain	Male	22	3	0	1	1	1	144,385.54	0
3,682	15,666,270	Omeokachie	676	France	Female	40	2	147,803.48	1	1	0	95,181.06	1
3,683	15,572,626	Mackenzie	620	Spain	Male	44	8	0	2	1	1	15,627.51	0
3,684	15,727,197	Pinto	576	France	Female	52	9	170,228.59	2	0	0	148,477.57	1
3,685	15,714,006	Gardener	482	France	Female	35	2	133,111.73	1	0	1	79,957.95	0
3,686	15,642,137	Fang	695	Spain	Female	39	5	0	2	0	0	102,763.69	0
3,687	15,665,327	Cattaneo	706	France	Male	18	2	176,139.5	2	1	0	129,654.22	0
3,688	15,626,806	Labrador	668	France	Female	32	2	0	2	1	1	40,652.33	0
3,689	15,662,578	Dettmann	679	Germany	Male	35	1	110,245.13	1	1	1	178,291.09	0
3,690	15,790,829	Gibson	703	France	Female	45	5	0	2	1	0	131,906.44	0
3,691	15,654,959	Hope	670	Spain	Male	67	6	158,719.57	1	1	1	118,607.4	0
3,692	15,760,244	Ives	590	France	Female	76	5	160,979.68	1	0	1	13,848.58	0
3,693	15,715,394	Greece	613	Spain	Male	35	4	123,557.65	2	0	1	170,903.4	0
3,694	15,722,246	Omeokachie	742	France	Female	60	4	0	1	1	1	13,161.66	1
3,695	15,609,704	Mao	608	France	Female	33	4	0	1	1	0	79,304.38	1
3,696	15,757,628	Savage	571	France	Male	40	10	112,896.86	1	1	1	121,402.53	0
3,697	15,633,586	Brierly	595	France	Female	39	7	120,962.13	1	0	0	23,305.01	0
3,698	15,565,796	Docherty	745	Germany	Male	48	10	96,048.55	1	1	0	74,510.65	0
3,699	15,717,935	McDonald	589	France	Female	21	3	0	2	0	1	55,601.44	0
3,700	15,577,700	Rapuokwu	749	France	Male	37	10	185,063.7	2	1	1	134,526.87	0

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