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
3,701	15,747,345	Bergamaschi	678	France	Female	22	6	118,064.93	2	1	1	195,424.01	0
3,702	15,678,317	Manfrin	603	France	Male	46	2	0	2	1	1	59,563.49	0
3,703	15,698,335	Bergamaschi	504	France	Female	73	8	0	1	1	1	34,595.58	0
3,704	15,768,451	MacDonald	739	Germany	Male	40	5	149,131.03	3	1	1	60,036.99	1
3,705	15,753,213	Lees	604	France	Female	34	7	0	2	1	0	193,021.49	0
3,706	15,769,645	Senior	612	France	Female	35	3	0	1	1	1	48,108.72	0
3,707	15,657,565	Nwokezuike	629	Spain	Female	44	6	125,512.98	2	0	0	79,082.76	0
3,708	15,620,323	Ekwueme	652	Spain	Female	42	3	83,492.07	2	1	0	37,914.12	0
3,709	15,679,983	Garmon	565	France	Male	34	7	0	1	0	0	74,593.84	0
3,710	15,812,616	Enyinnaya	707	France	Female	49	10	0	1	1	0	82,967.97	1
3,711	15,601,796	Chizuoke	645	France	Male	30	1	125,739.26	1	1	1	193,441.23	0
3,712	15,729,489	Hyde	762	Germany	Female	34	8	98,592.88	1	0	1	191,790.29	1
3,713	15,613,216	Cameron	639	Spain	Female	39	1	141,789.15	1	1	0	92,455.96	0
3,714	15,657,937	Lord	709	Germany	Male	22	0	112,949.71	1	0	0	155,231.55	0
3,715	15,815,428	Biryukova	823	France	Male	34	3	105,057.33	1	1	0	9,217.92	0
3,716	15,640,409	Carpenter	817	Germany	Female	46	0	89,087.89	1	0	1	87,941.85	1
3,717	15,699,492	Lorenzo	665	Germany	Female	27	2	147,435.96	1	0	0	187,508.06	0
3,718	15,623,536	Madukwe	646	Germany	Male	39	0	154,439.86	1	1	0	171,519.06	0
3,719	15,707,551	Hutcheon	568	France	Male	30	8	73,054.37	2	1	1	27,012	0
3,720	15,577,999	Sleeman	850	France	Female	62	1	124,678.35	1	1	0	70,916	1
3,721	15,788,775	Milne	473	Germany	Male	40	8	152,576.25	2	1	0	73,073.68	0
3,722	15,758,362	Williamson	731	France	Female	41	9	152,243.57	1	1	1	88,783.59	0
3,723	15,807,961	Bruno	619	France	Male	25	4	0	1	1	0	145,524.36	0
3,724	15,710,978	Palerma	715	Germany	Male	42	2	88,120.97	2	1	1	21,333.22	0
3,725	15,703,541	Wang	772	Germany	Female	51	9	143,930.92	1	0	1	46,675.51	1
3,726	15,626,474	Onyemere	686	France	Female	31	1	0	2	1	0	4,802.25	0
3,727	15,608,344	Dawson	749	Germany	Female	29	7	137,059.05	3	1	0	102,975.72	1
3,728	15,768,367	Nebechukwu	781	France	Female	27	7	186,558.55	1	1	1	175,071.29	1
3,729	15,806,210	Bateman	675	Spain	Male	66	5	115,654.47	2	1	1	131,970.86	0
3,730	15,697,702	Lord	730	Spain	Male	29	2	0	2	1	0	14,174.09	0
3,731	15,689,152	Loggia	683	Spain	Male	38	3	126,152.84	1	0	0	15,378.75	0
3,732	15,568,573	Graham	554	Germany	Female	51	7	105,701.91	1	0	1	179,797.79	1
3,733	15,689,598	Dean	722	France	Male	46	6	0	1	1	1	93,917.68	1
3,734	15,713,374	Jarvis	689	Germany	Male	67	9	157,094.78	1	1	1	99,490.01	0
3,735	15,679,733	Haugh	796	Germany	Male	40	2	113,228.38	2	1	1	46,415.09	0
3,736	15,759,274	Micklem	447	France	Female	32	10	0	1	1	1	151,815.76	0
3,737	15,607,748	Bennett	498	Germany	Male	37	8	108,432.88	2	1	1	14,865.05	0
3,738	15,607,577	Roberts	663	Spain	Male	27	8	0	1	1	1	188,007.99	0
3,739	15,813,697	Onyekaozulu	498	Germany	Female	44	2	120,702.67	2	1	1	98,175.74	0
3,740	15,801,125	Kegley	627	France	Female	32	1	0	1	1	0	106,851.7	0
3,741	15,777,855	Manna	649	France	Male	45	7	0	2	0	1	75,204.21	0
3,742	15,635,396	Thompson	738	Germany	Female	29	9	139,106.19	1	1	0	141,872.05	1
3,743	15,698,031	Romano	587	Germany	Female	39	6	101,851.8	2	1	0	7,103.71	0
3,744	15,678,944	Brown	655	Germany	Female	32	6	130,935.56	1	1	0	9,241.83	1
3,745	15,718,507	Su	647	Germany	Male	37	3	116,509.99	1	1	1	149,517.71	1
3,746	15,808,334	Mackay	776	Germany	Female	37	1	93,124.04	2	1	1	196,079.32	0
3,747	15,804,709	Watt	688	Germany	Male	35	5	111,578.18	1	0	0	166,165.93	1
3,748	15,645,835	Milani	605	France	Male	32	9	0	2	1	1	55,724.24	0
3,749	15,738,166	Hsu	596	France	Female	39	10	86,546.29	1	0	1	131,768.98	0
3,750	15,675,360	Valenzuela	427	France	Male	33	8	0	1	1	1	13,858.95	0
3,751	15,793,042	Sung	629	France	Male	39	2	129,669.32	2	1	0	82,774.07	0
3,752	15,630,106	Lo	496	Spain	Male	29	2	0	2	1	0	55,389.59	0
3,753	15,810,385	Giordano	717	Spain	Female	36	2	164,557.95	1	0	1	82,336.73	0
3,754	15,578,211	Connolly	777	France	Male	23	6	0	2	1	1	163,225.48	0
3,755	15,572,792	Bellucci	535	Spain	Male	35	8	118,989.92	1	1	1	135,536.72	0
3,756	15,620,030	Jamieson	744	France	Male	29	1	0	1	0	0	82,422.97	0
3,757	15,783,541	Fomina	755	France	Male	31	5	0	2	0	1	194,660.78	0
3,758	15,679,284	Aksenov	593	Spain	Female	45	6	79,259.75	1	1	0	55,347.28	0
3,759	15,582,910	Turnbull	514	France	Male	38	4	112,230.38	1	1	0	16,717.11	1
3,760	15,688,337	Dixon	721	France	Male	40	9	118,129.87	1	1	1	160,277.65	0
3,761	15,734,970	White	835	Spain	Male	38	7	86,824.09	1	0	0	175,905.97	0
3,762	15,759,140	Long	682	France	Female	64	10	128,306.7	1	0	1	66,040.83	0
3,763	15,643,042	Han	590	Germany	Female	40	2	117,641.43	2	0	0	92,198.05	0
3,764	15,773,868	Belov	653	Germany	Female	37	3	125,734.2	2	1	0	134,625.09	1
3,765	15,615,820	MacDonald	837	France	Male	49	8	103,302.37	1	1	1	50,974.57	0
3,766	15,730,273	Parsons	841	France	Male	27	8	0	1	1	0	171,922.72	0
3,767	15,724,890	Cross	584	Spain	Male	36	4	82,696.09	2	0	0	83,058.14	0
3,768	15,765,952	Milanesi	769	France	Male	29	4	145,471.37	1	1	0	188,382.77	0
3,769	15,685,920	Lombardo	599	Spain	Male	34	2	101,506.66	1	0	0	198,030.24	0
3,770	15,663,263	Collins	698	France	Male	47	5	156,265.31	2	0	0	1,055.66	0
3,771	15,568,953	Alexeieva	477	France	Male	27	1	128,554.98	1	1	1	133,173.19	0
3,772	15,643,361	Cullen	477	Germany	Male	34	8	139,959.55	2	1	1	189,875.83	0
3,773	15,699,486	Johnson	745	Spain	Male	34	7	132,944.53	1	1	1	31,802.92	0
3,774	15,747,854	Rudd	749	France	Female	35	3	0	3	1	1	132,649.85	0
3,775	15,691,785	Findlay	850	France	Male	61	1	0	1	1	0	53,067.83	1
3,776	15,709,004	Mai	528	Germany	Male	22	5	93,547.23	2	0	1	961.57	0
3,777	15,652,218	Morrison	750	France	Male	33	2	152,302.72	1	1	0	71,333.44	0
3,778	15,697,127	Monaldo	543	France	Female	31	2	147,674.26	1	1	1	16,658.76	0
3,779	15,658,486	Gidney	579	Spain	Female	59	3	148,021.12	1	1	1	74,878.22	0
3,780	15,694,160	Sagese	624	France	Male	37	0	0	2	0	0	112,104.55	0
3,781	15,685,290	Wall	595	Germany	Male	46	5	142,360.62	2	1	0	48,421.4	1
3,782	15,701,042	Dalton	596	Germany	Female	27	2	151,027.56	1	1	0	170,320.58	0
3,783	15,680,449	Hsing	431	Germany	Female	44	2	138,843.7	1	1	0	37,688.31	1
3,784	15,599,860	Warner	647	Spain	Female	26	8	109,958.15	1	1	1	136,592.24	1
3,785	15,723,169	Williams	640	France	Female	31	9	138,857.59	1	1	0	48,640.77	0
3,786	15,803,842	Dunn	752	Germany	Female	45	3	105,426.5	2	0	1	89,773.45	0
3,787	15,728,224	Kerr	710	Germany	Female	41	9	149,155.53	2	1	0	42,131.26	1
3,788	15,644,174	Marchesi	638	Germany	Male	27	4	135,096.05	1	1	1	186,523.72	1
3,789	15,707,110	Endrizzi	660	Germany	Male	28	2	170,890.05	2	1	0	41,758.9	0
3,790	15,765,415	King	609	Spain	Female	45	4	89,122.3	1	1	1	199,256.98	0
3,791	15,756,751	Griffiths	596	Spain	Female	54	0	78,126.28	1	1	1	153,482.91	1
3,792	15,795,151	Hartzler	705	France	Female	38	3	123,894.43	1	1	0	21,177.1	0
3,793	15,632,859	Chukwudi	444	France	Male	36	7	0	2	0	1	138,743.86	0
3,794	15,584,037	Denisov	727	Germany	Male	58	5	106,913.43	1	1	0	25,881	1
3,795	15,621,409	Endrizzi	496	France	Male	32	4	127,845.83	1	1	0	66,469.2	0
3,796	15,581,102	Baresi	554	France	Female	22	8	0	2	0	1	142,670.61	0
3,797	15,578,096	Nnachetam	537	France	Male	26	7	106,397.75	1	0	0	103,563.23	0
3,798	15,669,887	Lambert	839	France	Female	51	3	0	1	1	1	69,101.23	1
3,799	15,621,834	Game	700	Spain	Female	43	0	0	2	1	0	59,475.35	0
3,800	15,655,341	Chinagorom	458	Spain	Female	35	5	166,492.48	1	1	0	135,287.74	0

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