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
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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