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
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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