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
6,301	15,668,235	Cooke	614	France	Female	41	3	123,475.04	1	1	1	179,227.52	0
6,302	15,683,183	Volkova	766	Germany	Female	45	6	97,652.96	1	1	0	127,332.33	0
6,303	15,684,592	Lamb	557	Spain	Male	42	4	0	2	0	1	86,642.38	0
6,304	15,591,169	Hawes	788	Germany	Female	49	4	137,455.99	1	1	0	184,178.29	1
6,305	15,653,455	Smith	648	France	Female	38	2	0	2	0	1	9,551.49	0
6,306	15,732,563	Swanton	726	Germany	Female	33	7	99,046.31	2	1	1	56,053.06	0
6,307	15,656,471	Mitchell	773	France	Male	33	9	0	2	1	1	1,118.31	0
6,308	15,598,510	Colombo	583	Germany	Male	27	4	105,907.42	2	1	1	195,732.04	0
6,309	15,766,427	Shaw	565	Germany	Male	52	5	97,720.35	2	1	0	175,070.94	1
6,310	15,785,342	Shipp	705	France	Male	25	9	0	2	0	1	112,331.19	0
6,311	15,641,595	Jonathan	685	Spain	Male	43	4	97,392.18	2	1	0	43,956.83	0
6,312	15,798,429	Hernandez	741	France	Male	29	8	0	2	1	1	115,994.52	0
6,313	15,648,136	Green	658	Germany	Female	28	9	152,812.58	1	1	0	166,682.57	0
6,314	15,812,482	Young	575	France	Male	27	3	139,301.68	1	1	0	99,843.98	0
6,315	15,790,810	Han	844	France	Female	41	10	76,319.64	1	1	1	141,175.18	1
6,316	15,687,421	Highland	559	Spain	Male	67	9	125,919.35	1	1	0	175,910.95	1
6,317	15,765,643	Hamilton	725	France	Male	37	6	124,348.38	2	0	1	176,984.34	0
6,318	15,654,878	Yobanna	450	France	Male	29	7	117,199.8	1	1	1	43,480.63	0
6,319	15,686,835	Crawford	738	Germany	Female	57	9	148,384.64	1	0	0	155,047.11	1
6,320	15,768,340	Beavers	642	Germany	Female	19	3	113,905.48	1	1	1	176,137.2	0
6,321	15,673,599	Williamson	618	Spain	Male	32	5	133,476.09	1	0	1	154,843.4	0
6,322	15,689,096	Beneventi	590	France	Male	47	0	117,879.32	1	1	1	8,214.46	0
6,323	15,684,294	Chidumaga	735	France	Male	50	2	0	2	0	1	147,075.69	0
6,324	15,615,828	Mitchell	550	France	Male	34	8	122,359.5	1	0	0	116,495.55	0
6,325	15,746,012	Chibugo	729	Spain	Female	28	0	0	2	1	1	31,165.06	1
6,326	15,615,797	Hyde	743	Germany	Male	59	5	108,585.35	1	1	1	192,127.22	1
6,327	15,788,494	Alekseeva	555	France	Male	31	8	145,875.74	1	1	0	137,491.23	0
6,328	15,793,856	Abdulov	667	Spain	Female	36	3	121,542.57	2	1	1	186,841.71	0
6,329	15,629,545	Buckley	790	Spain	Female	41	7	109,508.68	1	0	0	86,776.38	0
6,330	15,661,198	Howard	727	Germany	Male	34	2	146,407.11	1	1	1	72,073.72	0
6,331	15,715,117	Peel	744	France	Female	39	6	0	1	0	0	10,662.58	0
6,332	15,701,074	Herz	629	Germany	Male	35	8	112,330.83	1	1	1	91,001.02	0
6,333	15,793,046	Holden	619	France	Female	35	4	90,413.12	1	1	1	20,555.21	0
6,334	15,623,744	McLean	634	France	Male	34	8	105,302.66	1	1	1	123,164.97	0
6,335	15,611,329	Findlay	608	Spain	Female	35	6	0	2	1	1	143,463.28	0
6,336	15,740,428	Wyatt	507	France	Female	35	1	0	2	0	0	92,131.54	0
6,337	15,781,534	Rapuluolisa	536	Germany	Female	35	4	121,520.36	1	0	0	77,178.42	0
6,338	15,618,243	Buckland	730	Spain	Female	43	1	103,960.38	1	1	1	193,650.16	0
6,339	15,784,161	Hargreaves	583	Germany	Male	39	8	102,945.01	1	0	0	52,861.89	0
6,340	15,700,325	Onyeoruru	644	France	Female	24	8	92,760.55	1	1	0	35,896.75	0
6,341	15,659,064	Salas	790	Spain	Male	37	8	0	2	1	1	149,418.41	0
6,342	15,658,364	Laney	807	Germany	Female	40	1	134,590.21	1	1	1	46,253.65	0
6,343	15,704,340	Fu	581	France	Female	37	10	104,255.03	1	1	0	86,609.37	0
6,344	15,793,455	Tien	627	Spain	Female	55	6	0	1	0	0	91,943.94	1
6,345	15,579,777	Sazonova	850	France	Male	41	3	0	2	1	0	128,892.36	0
6,346	15,632,345	Tuan	754	France	Female	35	4	0	2	1	0	44,830.71	0
6,347	15,814,468	Wei	551	Germany	Male	50	1	121,399.98	1	0	1	84,508.44	1
6,348	15,754,820	Bergamaschi	637	Germany	Male	35	8	147,127.81	2	1	1	84,760.7	0
6,349	15,707,505	Taylor	699	Spain	Male	31	8	125,927.51	2	1	0	147,661.47	0
6,350	15,699,507	Messersmith	542	France	Female	25	7	0	2	0	1	82,393.08	0
6,351	15,799,600	Coles	640	Germany	Male	48	1	111,599.32	1	0	1	135,995.58	0
6,352	15,794,472	Brookes	553	France	Female	27	3	0	2	0	0	159,800.16	0
6,353	15,646,632	Reid	741	France	Male	38	9	0	2	1	0	14,379.01	0
6,354	15,676,353	Etheridge	598	France	Male	35	8	114,212.6	1	1	1	74,322.85	0
6,355	15,566,312	Jolly	660	Spain	Female	42	5	0	3	1	1	189,016.24	1
6,356	15,570,414	Chizoba	618	Spain	Male	41	4	115,251.64	1	0	0	136,435.75	0
6,357	15,776,743	Eberegbulam	647	France	Male	43	9	0	2	1	1	78,488.39	0
6,358	15,674,637	Pagnotto	491	France	Female	68	3	107,571.61	1	0	1	113,695.99	0
6,359	15,730,418	Lucchesi	652	France	Female	32	2	0	2	1	0	54,628.11	0
6,360	15,739,972	Hughes	650	Germany	Female	45	9	152,367.21	3	1	0	150,835.21	1
6,361	15,661,591	Panicucci	413	Germany	Male	39	1	130,969.77	2	1	1	158,891.79	0
6,362	15,675,585	Burns	416	Germany	Female	25	0	97,738.97	2	1	1	160,523.33	0
6,363	15,814,750	Ricci	629	Spain	Male	34	8	0	2	1	1	180,595.02	0
6,364	15,593,454	Lambert	678	Spain	Female	40	4	113,794.22	1	1	0	16,618.76	0
6,365	15,663,421	Esposito	527	Spain	Male	28	6	128,396.33	2	1	0	79,919.97	0
6,366	15,576,196	Benson	743	Spain	Female	48	5	118,207.69	2	0	0	186,489.14	1
6,367	15,677,324	Botts	683	Germany	Male	73	9	124,730.26	1	1	1	51,999.5	0
6,368	15,568,742	Parkes	536	France	Female	41	9	0	1	1	0	121,299.14	0
6,369	15,693,764	Mai	663	Spain	Male	52	0	136,298.65	1	1	0	144,593.3	1
6,370	15,714,260	Castiglione	646	France	Female	38	2	0	2	0	0	178,752.73	0
6,371	15,798,200	Manna	707	France	Male	35	2	0	3	1	1	94,148.3	0
6,372	15,656,627	Lin	602	France	Male	34	5	0	2	1	1	77,414.45	0
6,373	15,791,111	Fink	635	France	Female	47	2	125,724.95	2	1	0	63,236.97	0
6,374	15,638,269	Baresi	597	France	Male	67	2	0	2	0	1	108,645.85	0
6,375	15,807,473	Morehead	503	France	Male	38	1	0	2	1	1	95,153.24	0
6,376	15,708,534	Afamefuna	524	Spain	Female	64	5	0	1	1	0	136,079.64	1
6,377	15,640,686	Greco	700	France	Male	46	5	95,872.86	1	1	0	98,273.01	1
6,378	15,588,904	Balashova	692	France	Male	33	9	0	1	1	0	113,505.93	1
6,379	15,768,763	Bogdanov	562	France	Male	37	2	0	1	0	1	52,525.15	1
6,380	15,770,543	Lowe	679	France	Male	37	7	74,260.03	1	1	0	194,617.98	0
6,381	15,642,162	Ponce	603	Germany	Male	35	1	123,407.69	1	1	0	152,541.89	1
6,382	15,714,046	Trevisano	720	Spain	Male	33	3	123,783.91	2	1	1	142,903.44	0
6,383	15,575,060	Gardner	797	France	Male	24	5	0	2	1	0	182,257.61	0
6,384	15,812,040	Lorenzo	594	France	Male	36	6	153,880.15	1	0	0	135,431.72	0
6,385	15,812,073	Palmer	529	France	Female	31	7	0	2	1	1	175,697.87	0
6,386	15,706,810	Zuyeva	606	Germany	Female	32	1	106,301.85	2	0	1	59,061.25	0
6,387	15,584,090	Jen	621	Spain	Female	40	7	0	2	0	1	131,283.6	1
6,388	15,810,807	Alekseeva	513	France	Female	43	9	0	2	1	0	152,499.8	0
6,389	15,582,033	Manfrin	753	Germany	Male	44	3	138,076.47	1	1	0	15,523.09	1
6,390	15,687,607	Chiemenam	605	France	Female	30	9	135,422.31	1	0	1	186,418.85	0
6,391	15,588,406	Chiemenam	574	Spain	Female	37	7	0	2	1	0	32,262.28	0
6,392	15,784,099	Clark	726	France	Female	38	5	126,875.62	1	1	0	128,052.29	0
6,393	15,701,352	Fanucci	611	Spain	Female	28	3	96,381.68	2	1	0	181,419.29	0
6,394	15,789,371	Cattaneo	593	Germany	Female	41	4	119,703.1	2	1	1	109,783.29	0
6,395	15,602,845	Udinesi	466	Germany	Male	41	2	152,102.18	2	1	0	181,879.56	0
6,396	15,707,918	Bentley	741	Germany	Female	36	0	127,675.39	2	1	0	74,260.16	0
6,397	15,602,812	Holmes	684	Germany	Female	44	2	133,776.86	2	0	1	49,865.04	0
6,398	15,675,888	Austin	550	Spain	Female	33	9	72,788.03	1	1	1	103,608.06	0
6,399	15,591,822	Mackenzie	593	Spain	Male	26	9	76,226.9	1	1	0	167,564.82	0
6,400	15,738,501	Booth	601	Germany	Male	48	9	163,630.76	1	0	1	41,816.49	1

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