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
6,701	15,681,115	Iroawuchi	787	Spain	Male	39	10	108,935.39	1	1	1	101,168.3	0
6,702	15,629,390	Liao	653	France	Male	37	7	135,847.47	1	1	0	144,880.81	0
6,703	15,792,668	Hamilton	661	Germany	Male	37	7	109,908.06	2	1	0	115,037.67	1
6,704	15,583,863	Chimaobim	681	Germany	Male	49	8	142,946.18	1	0	0	187,280.51	1
6,705	15,681,878	Fan	436	Germany	Male	45	3	104,339.11	2	1	1	183,540.22	1
6,706	15,782,875	Cayley	663	France	Male	33	5	157,274.36	2	1	1	28,531.81	0
6,707	15,732,235	Kuykendall	662	France	Male	64	0	98,848.19	1	0	1	42,730.12	0
6,708	15,735,909	McDonald	607	Germany	Female	39	8	105,103.33	1	1	0	104,721.5	1
6,709	15,653,448	Duncan	754	France	Male	34	7	0	2	1	1	65,219.85	0
6,710	15,587,647	Browne	850	Germany	Female	66	0	127,120.62	1	0	1	118,929.64	1
6,711	15,701,037	Barton	578	France	Male	39	2	0	2	1	0	70,563.9	0
6,712	15,727,499	Boyle	666	Germany	Female	36	3	129,118.5	2	0	0	139,435.12	0
6,713	15,724,838	Moretti	599	France	Female	43	4	0	1	1	0	170,347.1	0
6,714	15,666,711	Ukaegbulam	586	France	Female	46	0	0	3	0	1	131,553.82	1
6,715	15,588,933	Nwankwo	825	France	Female	36	3	146,053.66	1	1	1	138,344.7	0
6,716	15,763,111	Niu	808	Spain	Female	67	10	124,577.15	1	0	1	169,894.4	0
6,717	15,805,676	Hsu	515	Spain	Male	29	4	151,012.55	2	1	0	9,770.97	0
6,718	15,586,674	Shaw	663	Spain	Female	58	5	216,109.88	1	0	1	74,176.71	1
6,719	15,744,553	Ho	444	France	Male	34	2	144,318.97	1	1	0	112,668.06	0
6,720	15,776,629	Christie	650	France	Female	39	4	0	2	0	0	186,275.7	0
6,721	15,647,207	Onwuemelie	609	France	Male	26	7	0	2	1	0	98,463.99	0
6,722	15,715,638	Ch'ang	824	Germany	Male	77	3	27,517.15	2	0	1	2,746.41	0
6,723	15,750,602	Clendinnen	662	France	Male	29	5	147,092.65	1	1	0	10,928.3	0
6,724	15,766,810	Onyemauchechi	699	Germany	Female	51	2	92,246.14	2	0	1	91,346.03	0
6,725	15,756,625	Crawford	752	France	Female	41	8	0	2	1	0	139,844.04	1
6,726	15,639,552	Mellor	603	Germany	Female	40	8	148,897.02	1	0	0	105,052.9	0
6,727	15,633,213	Rizzo	628	Spain	Male	50	8	0	1	0	0	144,366.83	1
6,728	15,610,416	Christie	745	France	Female	36	9	0	1	1	0	19,605.18	1
6,729	15,715,208	Watkins	804	Germany	Female	33	10	138,335.96	1	1	1	80,483.76	0
6,730	15,619,608	Ojiofor	454	Germany	Female	50	10	92,895.56	1	1	0	154,344	1
6,731	15,628,697	Tung	631	Spain	Male	46	9	160,736.63	1	0	1	93,503.02	0
6,732	15,643,826	McKay	503	France	Male	32	4	0	2	1	1	153,036.97	0
6,733	15,718,588	Meng	548	France	Female	37	9	0	2	0	0	98,029.58	0
6,734	15,709,741	Hussain	668	France	Male	28	4	107,141.27	1	1	0	193,018.71	0
6,735	15,723,318	Mactier	619	France	Female	55	0	0	3	0	0	60,810.64	1
6,736	15,717,328	Hsueh	842	France	Female	37	4	132,446.08	2	1	0	87,071.18	1
6,737	15,771,299	Nnachetam	707	France	Female	57	1	92,053	1	1	1	164,064.44	1
6,738	15,706,223	Barnes	715	Spain	Male	38	2	96,798.79	2	1	1	4,554.67	0
6,739	15,612,358	Christie	573	Germany	Male	35	9	134,498.54	2	1	1	119,924.8	0
6,740	15,769,191	Lipton	509	France	Male	55	8	132,387.91	2	1	1	170,360.11	0
6,741	15,618,816	Yu	670	Germany	Female	40	2	147,171.2	1	0	1	69,850.04	0
6,742	15,730,810	Storey	613	Spain	Male	44	9	100,524.69	1	1	1	47,298.95	0
6,743	15,783,463	Read	678	France	Female	26	1	0	2	1	0	45,443.68	0
6,744	15,616,213	Levy	555	Germany	Female	51	9	138,214.5	1	1	0	198,715.27	1
6,745	15,611,287	Chiu	777	France	Female	30	4	0	2	0	1	115,611.97	0
6,746	15,786,454	Moore	552	Spain	Male	55	3	0	1	1	1	40,333.94	0
6,747	15,768,682	Amies	640	Spain	Male	39	3	0	1	1	1	105,997.25	0
6,748	15,766,172	Tsao	541	France	Male	34	3	128,743.55	1	1	0	134,851.12	0
6,749	15,637,646	Rowley	756	France	Male	31	10	122,647.32	1	0	0	61,666.87	0
6,750	15,653,404	Aliyev	684	Spain	Female	24	9	79,263.9	1	0	1	196,574.48	0
6,751	15,690,546	Riley	618	France	Female	42	2	0	4	0	0	111,097.39	1
6,752	15,735,636	Toscano	604	France	Female	53	2	121,389.78	1	1	1	48,201.64	1
6,753	15,605,424	Oluchukwu	624	Spain	Male	38	7	123,906.55	1	1	0	135,096.78	0
6,754	15,568,449	Fu	661	Spain	Male	38	7	143,006.7	1	1	1	15,650.89	0
6,755	15,688,085	Warner	627	Spain	Female	28	3	157,597.61	1	0	1	34,097.22	0
6,756	15,683,483	Fleming	812	Spain	Male	38	3	127,117.8	2	1	1	174,822.74	0
6,757	15,659,567	Ch'iu	473	France	Female	39	9	117,103.26	2	1	1	85,937.52	1
6,758	15,766,667	Langler	717	Spain	Male	36	2	102,989.83	2	0	1	49,185.57	0
6,759	15,624,975	Angelo	693	Spain	Male	28	1	145,118.83	1	0	1	77,742.38	0
6,760	15,660,878	T'ien	705	France	Male	92	1	126,076.24	2	1	1	34,436.83	0
6,761	15,586,557	Milani	661	France	Male	41	5	0	1	0	1	88,279.6	0
6,762	15,746,183	Pye	573	France	Female	27	4	0	2	1	1	157,549.6	0
6,763	15,631,457	Asher	639	France	Male	37	5	98,186.7	1	0	1	173,386.95	0
6,764	15,754,053	Chung	718	France	Female	67	7	0	3	1	1	82,782.08	0
6,765	15,645,839	Yudin	570	France	Male	37	6	0	1	1	1	187,758.5	0
6,766	15,689,955	Arcuri	461	France	Female	40	7	0	2	1	0	176,547.8	0
6,767	15,593,510	Capon	638	Germany	Female	33	5	129,335.65	1	1	1	56,585.2	1
6,768	15,654,964	Piccio	608	Spain	Male	48	7	75,801.74	1	1	0	125,762.95	0
6,769	15,594,039	Lung	599	Spain	Male	42	6	0	2	1	0	113,868.4	0
6,770	15,625,929	Trevisan	762	France	Female	44	7	159,316.64	1	0	0	24,780.13	0
6,771	15,815,295	John	662	France	Female	38	2	96,479.81	1	1	0	120,259.41	0
6,772	15,621,818	Anayolisa	747	Germany	Male	29	7	117,726.33	1	1	1	175,398.34	0
6,773	15,652,700	Ritchie	539	France	Male	39	6	0	2	1	1	86,767.48	0
6,774	15,636,860	Ch'eng	625	France	Male	43	4	122,351.29	1	1	0	71,216.6	0
6,775	15,569,432	Macleod	656	France	Female	48	9	0	2	1	1	85,240.61	1
6,776	15,751,455	Boyle	469	France	Female	48	5	0	1	1	0	160,529.71	1
6,777	15,800,583	Chukwuemeka	621	Spain	Female	43	8	0	1	0	0	102,806.6	0
6,778	15,770,214	Bryant	754	France	Female	27	7	0	2	1	0	144,134.64	0
6,779	15,613,463	Hackett	679	Germany	Female	50	6	132,598.38	2	1	1	184,017.98	0
6,780	15,587,066	Kovaleva	535	France	Male	38	2	119,272.29	1	0	0	195,896.59	1
6,781	15,693,752	Reed	487	France	Male	37	2	0	2	1	1	126,722.57	0
6,782	15,714,874	Major	850	France	Female	42	3	0	2	1	1	176,883.42	0
6,783	15,657,809	Lo	585	France	Male	55	10	106,415.57	3	1	1	122,960.98	1
6,784	15,651,955	Hanson	603	France	Male	31	4	0	2	0	1	9,607.1	0
6,785	15,570,912	Ogbonnaya	728	Germany	Female	32	9	127,772.1	2	1	1	152,643.48	0
6,786	15,640,266	Windsor	621	Spain	Male	41	5	104,631.67	1	1	1	95,551.22	0
6,787	15,652,069	Calabrese	833	France	Male	30	1	0	2	1	0	141,860.62	0
6,788	15,596,074	Keating	502	France	Male	37	10	0	1	1	1	76,642.68	0
6,789	15,800,268	Costa	825	Germany	Male	37	6	118,050.79	1	0	1	52,301.15	0
6,790	15,809,847	Tan	668	France	Male	46	0	0	2	0	0	29,388.02	0
6,791	15,599,074	Ma	487	Spain	Female	40	6	136,093.74	1	0	1	193,408.43	0
6,792	15,599,591	Martin	600	Germany	Female	39	7	88,477.36	2	1	0	58,632.37	0
6,793	15,776,096	Halpern	606	Spain	Male	34	3	161,572.24	1	0	1	191,076.22	0
6,794	15,611,669	Nyhan	623	Germany	Male	50	7	126,608.37	1	0	1	645.61	1
6,795	15,694,098	Jackson	575	France	Female	54	9	68,332.96	1	1	1	144,390.75	0
6,796	15,713,347	Reynolds	577	Spain	Male	48	6	179,852.26	1	1	0	193,580.32	0
6,797	15,713,094	Tai	651	France	Female	25	8	0	2	1	1	126,761.2	0
6,798	15,811,978	Trevisani	693	Germany	Male	46	2	104,763.41	1	1	1	62,368.33	0
6,799	15,799,925	Uwakwe	800	France	Male	60	6	88,541.57	2	1	1	131,718.12	0
6,800	15,692,575	Kerr	760	France	Male	38	6	162,888.73	1	1	0	91,098.76	1

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