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
2,701	15,786,200	Brock	564	France	Male	31	4	0	2	1	0	53,520.03	0
2,702	15,797,010	Shen	649	France	Female	31	2	0	2	1	0	15,200.61	0
2,703	15,670,172	Padovesi	622	France	Female	30	4	107,879.04	1	0	1	196,894.62	0
2,704	15,627,352	Bulgakov	459	Germany	Male	46	7	110,356.42	1	1	0	4,969.13	1
2,705	15,622,494	Mazzanti	718	France	Male	27	2	0	2	0	0	26,229.24	0
2,706	15,585,835	Lord	655	Spain	Female	34	4	109,783.69	2	1	0	134,034.32	0
2,707	15,595,071	Ramos	696	France	Male	22	9	149,777	1	1	1	198,032.93	0
2,708	15,628,203	Pai	637	France	Female	38	3	104,339.56	1	0	0	119,882.86	0
2,709	15,667,190	Yuan	630	Spain	Female	21	1	85,818.18	1	1	1	133,102.3	0
2,710	15,780,212	Mao	592	France	Male	37	4	212,692.97	1	0	0	176,395.02	0
2,711	15,766,869	Uspenskaya	634	Germany	Male	37	1	89,696.84	2	1	1	193,179.88	0
2,712	15,775,741	Powell	608	France	Female	28	9	0	2	1	1	125,062.02	0
2,713	15,628,170	Brown	565	Germany	Female	32	9	68,067.24	1	1	0	143,287.58	0
2,714	15,701,318	Poole	763	Spain	Male	67	9	148,564.66	1	0	1	87,236.4	0
2,715	15,710,928	McChesney	665	France	Female	55	8	136,354.16	1	1	1	93,769.89	0
2,716	15,682,547	Lucchese	649	France	Male	38	1	122,214	1	0	1	88,965.46	0
2,717	15,631,170	Clements	695	France	Male	45	3	0	2	1	1	30,793.61	0
2,718	15,648,702	Yuriev	775	Germany	Male	70	6	119,684.88	2	1	1	74,532.02	0
2,719	15,783,444	Endrizzi	788	France	Female	39	3	135,139.33	1	0	1	113,086.08	0
2,720	15,809,178	Pan	569	Germany	Female	42	9	146,100.75	1	1	0	32,574.01	1
2,721	15,806,688	Manfrin	726	Spain	Female	56	8	123,110.9	3	0	1	130,113.78	1
2,722	15,576,824	Kennedy	564	Germany	Female	44	3	111,760.4	3	1	1	104,722.47	1
2,723	15,675,422	Conway	544	France	Female	32	9	110,728.39	1	1	1	14,559.62	0
2,724	15,681,550	Lablanc	614	France	Female	41	8	121,558.46	1	1	1	598.8	0
2,725	15,812,628	Dodd	453	Germany	Female	38	8	120,623.21	1	1	0	129,697.99	0
2,726	15,597,951	Muir	471	France	Female	58	4	114,713.57	1	1	1	36,315.03	0
2,727	15,807,045	Milanesi	829	Germany	Female	37	3	103,457.76	1	0	0	1,114.12	0
2,728	15,581,748	Shen	754	Germany	Male	57	2	101,134.87	2	1	1	70,954.41	0
2,729	15,770,420	Dillon	749	Germany	Male	46	10	78,136.36	2	1	1	73,470.98	0
2,730	15,608,230	Hoelscher	667	France	Male	23	1	0	2	1	0	91,573.19	0
2,731	15,730,339	Bell	670	Spain	Male	30	3	133,446.34	1	0	0	3,154.95	0
2,732	15,712,584	Liao	670	France	Female	33	7	0	2	1	1	88,187.81	0
2,733	15,592,816	Udokamma	623	Germany	Female	48	1	108,076.33	1	1	0	118,855.26	1
2,734	15,641,480	Sinnett	571	France	Male	32	5	131,354.25	1	1	0	125,256.53	0
2,735	15,708,505	Palerma	641	Germany	Female	37	7	62,974.64	2	0	1	39,016.43	0
2,736	15,791,131	Chimaijem	551	Germany	Female	30	2	143,340.44	1	1	0	145,796.49	0
2,737	15,618,225	Porter	741	Germany	Male	36	8	116,993.43	2	1	0	168,816.22	0
2,738	15,644,724	Fan	472	France	Male	31	4	58,662.92	2	0	1	73,322	0
2,739	15,662,098	Palmer	650	Spain	Male	41	3	128,808.65	3	0	0	113,677.53	1
2,740	15,723,894	Younger	625	France	Male	45	7	137,555.44	1	0	0	124,607.7	0
2,741	15,787,699	Burke	650	Germany	Male	34	4	142,393.11	1	1	1	11,276.48	0
2,742	15,687,738	Nwagugheuzo	535	France	Female	38	8	0	2	1	0	136,620.64	0
2,743	15,576,126	Young	649	France	Female	41	2	125,785.23	1	1	1	70,523.92	0
2,744	15,658,889	Watson	689	France	Male	22	4	136,444.25	1	1	0	51,980.25	1
2,745	15,667,046	Tseng	694	Spain	Male	38	7	121,527.4	1	1	0	113,481.02	0
2,746	15,669,957	Drake	655	Germany	Male	52	9	144,696.75	1	1	1	49,025.79	0
2,747	15,655,794	Hanna	620	France	Male	36	8	0	2	1	1	145,937.99	0
2,748	15,599,829	Padovesi	577	France	Female	35	10	0	2	1	1	25,161.61	0
2,749	15,753,332	Loftus	401	Germany	Male	48	8	128,140.17	1	1	0	175,753.55	1
2,750	15,671,124	Buccho	599	France	Male	25	6	120,383.41	1	1	1	24,903.09	0
2,751	15,767,474	Lorenzo	481	France	Female	57	9	0	3	1	1	169,719.35	1
2,752	15,720,671	Ibezimako	704	France	Male	42	8	129,735.3	2	1	1	179,565.57	0
2,753	15,626,787	Wei	698	Spain	Female	31	8	185,078.26	1	0	0	115,337.74	1
2,754	15,774,491	Ross	480	France	Female	28	6	0	2	0	0	48,131.92	0
2,755	15,579,647	Oluchukwu	682	France	Male	42	0	0	1	1	1	160,828.98	0
2,756	15,625,522	Walker	700	Spain	Male	31	7	0	2	0	1	145,151.96	0
2,757	15,765,806	Wu	492	France	Male	29	1	144,591.96	1	1	1	196,293.76	0
2,758	15,566,708	Chidalu	444	France	Female	45	4	0	2	1	0	161,653.5	1
2,759	15,668,347	Ingram	624	France	Male	36	6	0	2	0	0	84,635.64	0
2,760	15,575,214	Ch'en	709	France	Male	37	7	0	1	1	0	159,486.76	0
2,761	15,591,123	Iredale	557	Germany	Male	68	2	100,194.44	1	1	1	38,596.34	0
2,762	15,573,280	Gallagher	646	Germany	Male	50	6	145,295.31	2	1	1	27,814.74	0
2,763	15,589,018	Padilla	719	Germany	Male	28	3	106,070.29	2	1	1	183,893.31	0
2,764	15,654,495	Potter	706	Germany	Female	47	6	120,621.89	1	1	1	140,803.7	0
2,765	15,597,265	Mao	660	France	Male	38	7	0	2	0	1	146,585.53	0
2,766	15,733,876	Schneider	667	France	Male	36	9	0	2	1	1	40,062.29	0
2,767	15,677,217	Ibragimova	705	France	Male	30	1	0	1	1	1	181,300.32	0
2,768	15,747,265	Huang	598	Germany	Female	27	10	171,283.91	1	1	1	84,136.12	0
2,769	15,713,379	Anderson	669	France	Male	26	4	0	2	1	1	197,594.34	0
2,770	15,730,433	Nakayama	580	Germany	Female	38	1	128,218.47	1	1	0	125,953.83	1
2,771	15,693,347	Gardener	676	France	Female	32	5	0	2	1	1	75,465.41	0
2,772	15,715,465	Aksenova	714	Germany	Male	28	7	77,776.39	1	1	0	177,737.07	0
2,773	15,680,736	Milne	597	Germany	Female	72	6	124,978.19	2	1	1	7,144.46	0
2,774	15,610,765	Onwumelu	559	France	Male	29	1	0	2	0	0	155,639.76	0
2,775	15,650,034	Kudryashova	564	France	Female	28	1	0	1	1	1	162,428.05	0
2,776	15,782,468	Hart	850	Spain	Male	51	3	109,799.55	2	1	1	12,457.76	1
2,777	15,685,109	Teng	689	France	Male	39	7	0	2	0	0	14,917.09	0
2,778	15,776,233	Kruglova	758	Germany	Female	61	8	125,397.21	1	1	0	182,184.09	1
2,779	15,761,141	Palerma	604	Spain	Female	71	10	0	2	1	1	129,984.2	0
2,780	15,781,702	Brookes	733	Germany	Male	38	9	111,347.37	2	0	1	194,872.97	0
2,781	15,790,235	Hsing	778	Spain	Male	40	8	104,291.41	2	1	1	117,507.11	0
2,782	15,641,416	Shaffer	732	Germany	Female	61	9	94,867.18	2	1	1	157,527.6	1
2,783	15,775,234	Laurie	646	France	Male	24	8	0	2	0	0	92,612.88	0
2,784	15,659,475	Chung	597	France	Female	33	6	135,703.59	2	0	0	74,850.84	0
2,785	15,642,202	Whitfield	821	Germany	Female	37	5	106,453.53	2	0	1	127,413	0
2,786	15,771,417	Thomas	640	France	Male	43	7	132,412.38	1	0	0	69,584.3	1
2,787	15,585,100	Rioux	511	Germany	Female	40	9	124,401.6	1	1	0	198,814.24	1
2,788	15,700,487	Osonduagwuike	805	France	Male	46	6	118,022.06	3	1	0	162,643.15	1
2,789	15,726,589	Matveyev	540	Germany	Male	39	1	82,531.11	1	1	0	114,092.52	0
2,790	15,747,503	Hayward	705	Spain	Male	44	0	184,552.12	1	1	0	68,860.3	1
2,791	15,595,883	Nkemdirim	540	Germany	Male	39	4	127,278.31	1	1	1	16,150.34	0
2,792	15,663,826	Brim	532	Spain	Female	66	3	0	1	1	1	115,227.02	0
2,793	15,742,820	Trevisano	535	France	Female	45	2	0	2	0	1	170,621.55	0
2,794	15,624,793	Soubeiran	627	Germany	Male	23	5	184,244.86	1	1	0	103,099.22	0
2,795	15,597,930	Wilson	646	France	Male	52	8	59,669.43	1	0	0	172,495.81	1
2,796	15,665,110	Helena	515	France	Female	25	7	79,543.59	1	0	1	38,772.82	0
2,797	15,770,719	Duncan	697	France	Female	39	6	151,553.19	1	1	1	44,946.29	0
2,798	15,731,327	Hale	652	Germany	Male	27	2	166,527.88	2	0	1	146,007.7	0
2,799	15,576,044	Macdonald	579	Germany	Male	28	6	150,329.15	1	1	0	145,558.42	0
2,800	15,775,662	McKay	760	France	Male	43	8	121,911.59	1	1	0	193,312.33	0

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