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
8,401	15,632,069	Kazantsev	776	France	Male	39	8	125,211.55	2	1	0	144,496.07	0
8,402	15,663,134	Uspenskaya	535	Spain	Male	58	1	0	2	1	1	11,779.98	1
8,403	15,766,683	Coombes	549	Germany	Male	36	6	139,422.37	1	0	0	83,983.39	1
8,404	15,707,219	Hopman	844	France	Female	28	4	0	2	0	1	123,318.37	0
8,405	15,709,232	McKay	586	Germany	Female	47	5	157,099.47	2	1	1	65,481.86	0
8,406	15,801,351	Milanesi	583	France	Male	40	3	0	2	1	0	47,728	0
8,407	15,578,747	Chineze	701	Spain	Male	26	5	83,600.24	1	0	1	59,195.05	0
8,408	15,675,626	Dawson	726	France	Male	28	2	0	1	0	0	98,060.51	0
8,409	15,583,736	Shih	829	Germany	Male	36	4	81,795.74	2	1	0	90,106.94	0
8,410	15,590,011	Hughes	749	Spain	Male	38	9	129,378.32	1	1	1	13,549.34	0
8,411	15,609,913	Clark	743	France	Female	46	9	0	1	1	0	113,436.08	0
8,412	15,719,479	Chukwuhaenye	619	Spain	Female	56	7	0	2	1	1	42,442.21	0
8,413	15,575,147	Wall	699	France	Male	22	9	99,339	1	1	0	68,297.61	1
8,414	15,597,309	Howell	749	Spain	Male	36	7	0	2	0	0	80,134.65	0
8,415	15,648,367	Lo	600	Germany	Female	29	6	74,430.1	2	1	1	96,051.1	0
8,416	15,758,031	Lazarev	760	Spain	Male	38	3	91,241.85	1	0	1	80,682.35	0
8,417	15,751,771	Lowe	528	Germany	Male	32	2	99,092.45	1	0	1	111,149.98	0
8,418	15,689,288	Folliero	630	France	Female	26	5	0	2	1	0	182,612.38	0
8,419	15,731,026	Han	683	Germany	Female	39	2	100,062.16	2	1	0	109,201.43	0
8,420	15,775,809	Holloway	677	Germany	Female	26	6	98,723.67	1	0	1	151,146.67	0
8,421	15,743,076	Pai	669	Spain	Male	29	9	0	1	1	1	93,901.61	0
8,422	15,658,258	Trejo	693	France	Male	43	6	128,760.32	1	1	0	36,342.79	0
8,423	15,756,321	Johnston	612	Spain	Female	52	5	144,772.69	1	0	0	98,302.57	1
8,424	15,706,799	Macknight	719	Spain	Male	44	4	0	1	0	0	84,972.9	1
8,425	15,775,703	Lo	702	France	Male	26	2	71,281.29	1	1	1	108,747.12	1
8,426	15,642,636	Glossop	755	France	Male	29	9	117,035.89	1	1	1	21,862.19	0
8,427	15,704,651	Bishop	514	France	Male	26	1	0	2	0	0	121,551.93	0
8,428	15,806,771	Yefremova	753	France	Female	40	0	3,768.69	2	1	0	177,065.24	1
8,429	15,566,735	Obialo	548	Germany	Female	36	2	108,913.84	2	1	1	140,460.01	0
8,430	15,681,671	Nkemjika	850	Germany	Male	28	2	101,100.22	2	1	1	35,337.31	0
8,431	15,775,949	Trevisani	612	France	Female	38	7	110,615.47	1	1	1	193,502.93	0
8,432	15,586,752	Parkes	628	Germany	Male	33	8	152,143.89	1	1	1	32,174.03	0
8,433	15,582,519	Seleznyov	479	France	Male	47	6	121,797.09	1	0	1	5,811.9	1
8,434	15,658,233	Naylor	724	France	Female	41	5	109,798.25	1	0	1	149,593.61	0
8,435	15,755,330	Forbes	512	Germany	Male	41	7	122,403.24	1	0	1	37,439.9	1
8,436	15,605,072	Douglas	638	France	Female	43	3	145,860.98	1	1	1	142,763.51	1
8,437	15,617,538	Nwankwo	834	Spain	Male	40	7	0	2	0	0	45,038.74	0
8,438	15,591,428	Myers	781	France	Male	29	9	0	2	0	0	172,097.4	0
8,439	15,692,142	Rogova	707	Germany	Female	48	7	105,086.74	1	1	1	180,344.69	1
8,440	15,692,931	Hsing	670	France	Male	22	2	114,991.45	1	1	1	37,392.56	0
8,441	15,781,127	Giordano	663	Spain	Female	33	8	96,769.04	1	1	1	36,864.05	0
8,442	15,677,136	Okwukwe	624	France	Female	23	5	0	2	0	0	132,418.59	0
8,443	15,677,828	Chalmers	598	France	Female	34	4	0	2	0	0	60,894.26	0
8,444	15,567,897	Chiazagomekpere	619	Germany	Male	23	5	132,725.1	1	1	1	143,913.33	0
8,445	15,793,641	Evseyev	792	France	Female	70	3	0	2	1	1	172,240.27	0
8,446	15,678,333	Parry-Okeden	683	France	Female	26	7	0	2	1	0	86,619.77	0
8,447	15,630,511	Picot	691	France	Female	33	6	0	2	1	0	164,074.89	0
8,448	15,792,627	Reid	765	Spain	Female	33	5	84,557.82	1	1	1	69,039.43	0
8,449	15,717,191	Ferri	508	France	Male	49	1	93,817.41	2	1	1	132,468.76	1
8,450	15,625,716	Genovesi	637	France	Female	33	9	113,913.53	1	0	1	65,316.5	0
8,451	15,710,053	Neumayer	667	Germany	Female	44	5	140,406.68	2	0	1	57,164.19	0
8,452	15,580,043	Murray	575	Spain	Female	22	8	105,229.34	1	1	1	34,397.08	0
8,453	15,601,410	Tien	744	Spain	Female	46	1	0	3	1	1	177,431.59	1
8,454	15,684,669	Parkes	567	France	Female	41	9	137,891.35	1	1	0	142,009.46	1
8,455	15,619,083	Yip	502	France	Female	35	6	0	2	1	1	80,618.47	0
8,456	15,692,207	Ingle	609	France	Female	53	6	0	2	1	1	124,218.27	0
8,457	15,730,705	Chidubem	715	France	Male	37	9	165,252.52	1	1	0	85,286.3	0
8,458	15,749,688	Lu	541	France	Male	32	8	0	2	0	0	40,889.14	0
8,459	15,728,542	Vorobyova	850	France	Female	71	4	0	2	1	1	107,236.87	0
8,460	15,760,063	Chiedozie	595	Spain	Male	23	7	0	2	1	1	168,085.97	0
8,461	15,658,982	Napolitani	650	Germany	Female	28	5	122,034.4	3	0	1	146,663.43	1
8,462	15,758,769	Coffey	625	France	Female	44	7	0	1	1	0	4,791.8	0
8,463	15,778,481	Chigbogu	817	France	Male	59	1	118,962.58	1	1	1	120,819.58	0
8,464	15,661,162	Akabueze	526	Spain	Male	49	2	0	1	1	0	114,539.67	1
8,465	15,568,164	Istomin	850	France	Female	34	4	71,379.53	2	1	1	154,000.99	0
8,466	15,601,569	Ndubueze	598	France	Female	40	2	171,178.25	1	1	0	137,980.58	1
8,467	15,772,383	Toscani	613	France	Male	36	9	131,307.11	1	0	0	83,343.73	0
8,468	15,667,456	Ross	709	Spain	Male	62	3	0	2	1	1	82,195.15	0
8,469	15,672,983	Fernando	678	Spain	Female	27	5	87,099.85	2	1	0	149,550.95	0
8,470	15,799,534	McClaran	720	France	Male	71	5	183,135.39	2	1	1	197,688.5	0
8,471	15,582,847	Yermakova	662	France	Male	26	0	0	2	0	1	72,929.96	0
8,472	15,612,478	Somadina	525	France	Male	51	10	0	3	1	0	171,045.35	1
8,473	15,709,621	Wan	662	France	Male	31	3	0	2	0	1	27,731.05	0
8,474	15,802,009	Mazzi	770	France	Female	33	6	0	2	1	1	126,131.9	0
8,475	15,698,816	Tuan	721	Spain	Female	33	4	72,535.45	1	1	1	103,931.49	0
8,476	15,574,830	Townsley	633	Germany	Male	58	2	128,137.42	2	1	0	147,635.33	1
8,477	15,603,082	Yashina	701	France	Male	51	9	0	2	0	0	61,961.57	0
8,478	15,685,947	Henderson	556	Germany	Male	42	0	115,915.53	2	0	1	125,435.47	1
8,479	15,643,048	Mueller	639	France	Male	66	0	0	2	0	1	42,240.54	0
8,480	15,807,568	Wright	632	France	Male	50	2	0	2	0	0	57,942.88	0
8,481	15,597,591	Lung	456	France	Male	29	5	107,000.49	1	1	1	153,419.62	0
8,482	15,747,558	Bryant	729	Spain	Female	38	10	0	2	1	0	189,727.12	0
8,483	15,756,655	Madukaife	632	France	Female	34	2	0	2	0	0	165,385.55	0
8,484	15,589,949	Maclean	433	Spain	Male	34	9	152,806.74	1	1	0	19,687.99	0
8,485	15,601,012	Abdullah	802	France	Female	60	3	92,887.06	1	1	0	39,473.63	1
8,486	15,724,269	Yao	670	France	Male	25	7	0	2	1	1	144,723.38	0
8,487	15,567,506	Cheatham	738	Germany	Female	40	6	114,940.67	2	1	1	194,895.57	1
8,488	15,791,877	Gallagher	706	Germany	Male	34	0	140,641.26	2	1	1	77,271.91	0
8,489	15,794,360	Hao	592	Germany	Female	70	5	71,816.74	2	1	0	105,096.82	1
8,490	15,686,538	Nixon	522	France	Female	41	7	0	2	0	1	176,780.39	0
8,491	15,585,985	Wang	746	France	Male	48	5	165,282.42	1	1	0	153,786.46	1
8,492	15,699,257	Kerr	651	Spain	Male	42	2	143,145.87	2	1	0	43,612.06	0
8,493	15,804,104	Romani	494	France	Male	28	9	114,731.76	2	0	1	79,479.74	0
8,494	15,727,619	Lock	753	Germany	Female	46	9	113,909.69	3	1	0	92,320.37	1
8,495	15,740,237	Millar	671	Germany	Male	36	2	116,695.27	1	0	0	193,201.86	0
8,496	15,801,436	K'ung	696	France	Male	42	4	0	1	0	0	126,353.13	1
8,497	15,705,735	Onyekachi	577	Spain	Male	43	3	0	2	1	1	135,008.92	0
8,498	15,649,359	Somayina	587	France	Male	36	1	0	2	0	1	17,135.6	0
8,499	15,624,892	Dennis	712	Germany	Male	37	7	93,978.96	2	1	0	60,651.77	0
8,500	15,784,918	Brown	498	Germany	Male	35	2	121,968.11	2	0	1	188,343.05	0

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