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
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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