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
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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