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
9,401	15,584,897	Kuo	639	France	Female	31	3	98,360.03	1	0	0	20,973.8	0
9,402	15,601,857	Woodhouse	705	Germany	Female	46	4	115,518.07	1	0	0	76,544.9	1
9,403	15,674,156	Tretiakova	810	Germany	Male	69	3	27,288.43	1	1	1	110,509.9	0
9,404	15,695,465	Gibson	638	France	Female	36	6	0	1	1	0	164,247.51	0
9,405	15,792,232	Moss	595	Spain	Female	43	5	0	2	0	0	105,149.8	0
9,406	15,807,900	Chineze	575	France	Male	36	7	0	1	1	1	55,868.97	1
9,407	15,743,760	Davidson	850	France	Male	31	6	131,996.66	2	1	1	178,747.43	0
9,408	15,652,835	Liang	419	Spain	Female	27	2	121,580.42	1	0	1	134,720.51	0
9,409	15,767,818	Graham	640	France	Male	55	10	132,436.34	1	1	0	978.66	0
9,410	15,591,150	Nwebube	570	Spain	Male	34	10	0	2	0	1	183,387.12	0
9,411	15,734,659	Sozonov	640	Germany	Female	46	5	107,978.4	2	1	0	155,876.06	0
9,412	15,796,115	Forbes	689	Germany	Female	40	4	78,119.59	4	1	0	119,259.34	1
9,413	15,724,648	Chikezie	725	France	Male	26	6	98,684.15	1	0	0	133,720.57	0
9,414	15,737,732	Onwuemelie	751	France	Female	44	10	0	2	1	0	170,634.49	0
9,415	15,632,280	Toth	544	Spain	Female	53	9	0	1	1	0	125,692.07	1
9,416	15,750,407	Hunt	768	Germany	Female	43	2	129,264.05	2	0	0	19,150.14	0
9,417	15,795,370	Mazure	648	Germany	Male	37	6	131,753.41	1	1	0	86,894.67	0
9,418	15,656,829	Hughes	577	Spain	Female	33	6	0	2	1	0	57,975.8	0
9,419	15,643,794	Bennett	639	Spain	Female	27	2	0	1	1	1	82,938.99	0
9,420	15,798,605	Tien	686	Germany	Male	26	1	57,422.62	1	1	1	79,189.4	0
9,421	15,637,324	Kay	657	France	Female	28	7	0	2	0	1	5,177.62	0
9,422	15,589,589	Bryan	613	France	Male	34	5	144,094.2	1	1	0	44,510.26	0
9,423	15,778,936	Ingamells	701	France	Male	33	9	147,510.34	1	1	0	190,611.92	0
9,424	15,757,385	Milne	578	Spain	Female	28	8	161,592.76	1	1	0	177,834.79	0
9,425	15,666,200	Lombardo	689	France	Female	40	1	0	2	1	1	119,446.64	0
9,426	15,683,977	Owens	687	Spain	Female	72	4	0	2	1	1	50,267.69	0
9,427	15,675,518	Charlton	499	Spain	Female	53	1	75,225.53	2	0	0	144,849.1	1
9,428	15,584,812	Overby	693	Spain	Female	39	0	0	2	0	0	81,901.6	0
9,429	15,752,984	Chifley	737	France	Female	70	9	87,542.89	2	1	1	42,576.86	0
9,430	15,577,913	Oliver	651	France	Female	32	8	144,581.96	1	1	1	87,609.5	0
9,431	15,591,980	Hill	753	France	Male	33	5	122,568.05	2	1	1	82,820.85	0
9,432	15,598,948	DeRose	523	Spain	Female	24	5	172,231.93	1	0	1	155,144.12	0
9,433	15,574,142	Chuang	458	Germany	Female	28	2	171,932.26	2	1	1	9,578.24	0
9,434	15,582,903	Edwards	643	France	Male	39	7	0	2	1	1	170,392.59	0
9,435	15,733,229	Rodriguez	638	Spain	Female	34	7	0	2	0	0	3,946.29	0
9,436	15,635,752	Lo	685	Germany	Male	38	4	111,798.06	2	1	1	102,184.66	0
9,437	15,771,000	Powell	684	France	Male	38	4	0	3	1	0	75,609.84	0
9,438	15,804,864	Chu	670	France	Female	27	5	79,336.61	1	1	1	26,170.08	0
9,439	15,641,175	Munro	701	Germany	Male	63	3	120,916.52	3	0	0	144,727.45	1
9,440	15,692,226	Onwumelu	705	France	Female	31	3	142,905.51	1	1	1	58,134.97	0
9,441	15,584,156	Siciliani	593	Spain	Male	27	10	0	3	0	0	94,620	1
9,442	15,702,656	Yobachi	651	France	Female	33	1	96,834.78	1	1	0	108,764.69	0
9,443	15,606,552	Akabueze	741	France	Male	37	9	105,261.76	2	1	1	149,503.54	0
9,444	15,687,001	Chiemenam	596	Germany	Male	54	1	123,544	1	1	1	120,314.75	1
9,445	15,781,903	Odinakachukwu	581	Germany	Male	41	2	127,913.71	2	1	1	44,205.95	0
9,446	15,731,951	Reilly	689	Spain	Female	28	5	95,328.6	1	1	0	6,129.61	1
9,447	15,580,953	Forbes	544	France	Male	30	4	73,218.89	1	0	1	126,796.69	0
9,448	15,810,390	Amadi	718	France	Female	41	1	0	2	0	1	27,509.52	1
9,449	15,628,274	Ferri	583	Germany	Male	35	8	149,995.72	2	1	0	42,143.55	0
9,450	15,615,444	Y?an	663	Germany	Male	28	8	123,674.28	2	1	1	87,985.2	0
9,451	15,784,010	Williamson	666	Germany	Male	33	2	124,125.26	1	1	0	81,884.8	0
9,452	15,571,586	Briggs	524	Spain	Male	29	3	159,035.45	1	1	0	2,705.31	1
9,453	15,748,616	Napolitani	599	France	Male	27	5	0	2	1	0	30,546.4	0
9,454	15,769,402	Carpenter	667	France	Male	27	7	156,811.74	1	1	1	149,402.59	0
9,455	15,739,248	Lin	727	France	Male	52	4	0	2	1	1	118,429.02	0
9,456	15,603,481	Robinson	689	Spain	Female	55	4	0	2	1	1	58,442.25	0
9,457	15,723,604	Collins	639	France	Male	39	6	150,555.83	1	1	0	30,414.17	0
9,458	15,797,822	Kingsley	678	France	Male	28	2	109,137.12	1	1	1	58,814.41	0
9,459	15,665,064	Harvey	523	France	Male	36	8	158,351.02	2	1	0	155,304.53	0
9,460	15,640,580	Obiora	650	France	Female	47	9	0	1	1	0	187,943.6	0
9,461	15,581,089	Knight	744	Spain	Male	35	7	0	2	1	1	43,036.6	0
9,462	15,728,605	Hung	697	France	Male	40	4	0	2	0	1	26,543.28	0
9,463	15,737,385	Curtis	800	Spain	Female	46	6	0	2	1	0	171,928.04	0
9,464	15,714,789	Perez	664	France	Male	24	7	0	1	0	1	35,611.35	0
9,465	15,786,035	Gosnell	740	France	Male	39	9	0	2	1	0	19,047.23	0
9,466	15,815,259	Fang	835	France	Female	56	2	0	2	1	1	39,820.13	0
9,467	15,592,716	Clarke	559	France	Male	52	2	0	1	1	0	129,013.59	1
9,468	15,734,850	Milanesi	676	Spain	Male	36	1	82,729.49	1	1	0	113,810.12	0
9,469	15,638,047	Chia	613	Germany	Female	45	9	142,765.24	2	1	0	34,749.65	0
9,470	15,674,573	Gearhart	713	France	Female	25	4	121,172.97	1	1	1	56,268.98	0
9,471	15,694,859	McLean	751	Germany	Female	28	10	132,932.14	2	1	1	46,630.47	0
9,472	15,776,404	Williamson	523	France	Male	22	8	123,374.46	1	1	1	124,906.59	0
9,473	15,579,345	Murphy	775	Germany	Female	74	0	161,371.5	1	1	1	134,869.93	0
9,474	15,690,733	Angelo	608	Spain	Male	45	4	0	2	0	0	36,697.48	1
9,475	15,631,481	Thomson	673	France	Male	51	8	79,563.36	2	1	1	172,200.91	0
9,476	15,620,988	Murray	616	France	Male	46	2	0	2	1	0	137,136.46	0
9,477	15,571,529	Kirby	650	Germany	Female	48	7	138,232.24	1	1	0	57,594.78	0
9,478	15,592,104	Lane	655	France	Female	41	5	0	1	0	0	36,548	1
9,479	15,651,900	Bergamaschi	782	Germany	Female	53	1	81,571.05	1	1	0	182,960.46	1
9,480	15,596,212	Yang	781	Spain	Male	35	1	0	2	0	0	42,117.9	0
9,481	15,710,687	Mills	593	France	Female	33	0	95,927.04	1	1	0	199,478.05	0
9,482	15,613,787	Chidubem	505	Spain	Male	35	8	116,932.59	1	1	0	91,092.84	0
9,483	15,599,211	Findlay	707	France	Male	40	1	0	2	1	0	14,090.4	1
9,484	15,675,983	Wood	692	France	Female	36	3	79,551.12	1	0	1	178,267.07	0
9,485	15,622,370	Boyle	813	Germany	Male	30	1	116,416.94	1	0	1	85,808.22	0
9,486	15,656,319	Toscano	850	Spain	Male	37	4	88,141.1	1	1	0	109,659.12	0
9,487	15,605,130	Seccombe	753	France	Male	32	6	177,729.13	1	1	1	161,642.08	0
9,488	15,672,574	Uspenskaya	850	Spain	Female	32	5	0	1	1	1	3,830.59	0
9,489	15,659,355	McKenzie	671	Spain	Male	32	6	123,912.78	2	1	1	146,636.44	0
9,490	15,777,907	Liang	791	France	Female	33	3	0	1	1	1	144,413.92	1
9,491	15,655,171	Yermakova	624	France	Male	80	3	0	1	1	1	65,801.44	0
9,492	15,619,674	White	649	France	Female	35	4	108,306.44	1	1	1	192,486.24	0
9,493	15,775,192	Rounsevell	732	Germany	Female	48	4	102,962.62	1	1	0	120,852.85	1
9,494	15,617,657	Ts'ai	664	France	Female	36	0	103,502.22	1	1	1	146,191.82	0
9,495	15,688,951	Stoneman	789	Germany	Male	43	8	119,654.44	2	0	1	148,412.24	1
9,496	15,763,460	Yao	680	France	Male	33	10	183,768.47	1	1	0	164,119.35	0
9,497	15,756,992	Chukwukere	701	France	Male	37	1	0	2	1	0	163,457.55	0
9,498	15,617,454	Ifeatu	684	France	Female	25	1	0	2	0	1	144,978.47	0
9,499	15,701,932	Millar	586	France	Female	52	6	140,900.97	1	1	1	67,288.89	0
9,500	15,700,813	Igwebuike	522	Germany	Female	25	5	94,049.92	2	1	0	103,269	0

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