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
9,201	15,567,923	Barese	739	France	Female	30	6	0	1	0	0	122,604.44	0
9,202	15,788,183	Longo	458	Germany	Female	43	1	106,870.12	2	1	0	100,564.37	0
9,203	15,735,782	MacDonald	528	France	Male	31	9	120,962.59	1	1	0	5,419.31	0
9,204	15,774,401	Chambers	773	Spain	Male	51	4	0	2	0	0	123,587.83	1
9,205	15,737,971	Cowen	646	France	Female	30	5	0	2	1	0	13,935.32	0
9,206	15,758,750	Iweobiegbunam	564	France	Male	31	0	110,527.17	1	1	1	87,060.77	0
9,207	15,611,767	Mai	624	Germany	Female	52	0	133,723.43	1	0	0	4,859.59	1
9,208	15,643,770	Yu	682	France	Female	52	5	112,670.48	1	1	0	21,085.17	1
9,209	15,744,717	Duffy	726	France	Female	44	2	0	2	1	1	26,733.86	0
9,210	15,570,681	Chiang	560	France	Male	24	1	116,084.32	1	1	0	89,734.7	0
9,211	15,792,650	Watts	382	Spain	Male	36	0	0	1	1	1	179,540.73	1
9,212	15,605,531	Daly	457	Spain	Female	38	6	0	2	1	0	173,219.09	0
9,213	15,605,339	Baker	673	France	Female	37	10	0	2	1	1	37,411.35	0
9,214	15,672,216	Uvarov	584	France	Female	40	4	82,441.75	1	0	0	80,852.11	0
9,215	15,812,893	Costa	629	France	Female	39	10	0	2	1	1	43,174.49	1
9,216	15,624,180	Genovesi	584	Germany	Female	37	10	134,171.8	4	1	1	70,927.11	1
9,217	15,701,364	Doherty	724	France	Male	30	10	0	2	1	1	54,265.55	0
9,218	15,762,588	Kaleski	644	France	Male	31	5	0	2	1	1	41,872.17	0
9,219	15,806,318	Wright	676	Germany	Female	48	2	124,442.38	1	1	0	15,068.53	1
9,220	15,712,596	Huang	499	France	Male	31	4	0	1	1	0	25,950.49	0
9,221	15,600,399	Trentino	598	France	Male	60	4	0	1	1	0	197,727.14	1
9,222	15,576,216	Chienezie	655	Germany	Female	37	4	108,862.76	1	1	0	79,555.08	1
9,223	15,620,750	Sugden	559	France	Male	28	3	141,099.43	1	1	1	15,607.27	0
9,224	15,623,489	Tu	543	France	Female	67	0	128,843.67	1	1	1	134,612.48	0
9,225	15,667,944	Onuchukwu	679	France	Male	39	0	86,843.61	1	0	1	159,830.58	0
9,226	15,584,928	Ugochukwutubelum	594	Germany	Female	32	4	120,074.97	2	1	1	162,961.79	0
9,227	15,779,913	Davidson	586	France	Male	27	5	130,231.8	2	1	1	192,427.16	0
9,228	15,644,977	Goddard	776	France	Female	31	5	0	2	1	0	92,647.94	0
9,229	15,749,679	Beck	699	France	Male	39	2	109,724.38	1	1	1	180,022.39	0
9,230	15,629,010	Beam	847	Germany	Female	35	5	111,743.43	1	1	1	183,584.14	0
9,231	15,768,465	Sheppard	582	Germany	Male	35	8	121,309.17	2	1	1	28,750.67	0
9,232	15,767,781	Godfrey	648	France	Male	38	10	82,697.28	1	1	0	74,846.67	0
9,233	15,635,364	Gray	618	France	Female	49	9	44,301.43	3	1	1	89,729.3	1
9,234	15,722,004	Hsiung	543	France	Female	31	4	138,317.94	1	0	0	61,843.73	0
9,235	15,766,044	Cameron	642	Germany	Male	49	4	120,688.61	1	1	0	24,770.22	1
9,236	15,586,680	Fleming	462	France	Male	27	4	176,913.52	1	1	0	80,587.27	0
9,237	15,635,388	Austin	640	Spain	Male	47	6	89,047.14	1	1	0	116,286.25	0
9,238	15,655,175	Wallace	740	Germany	Male	40	4	114,318.78	2	1	0	129,333.69	1
9,239	15,639,133	Ku	773	France	Female	50	4	0	2	1	0	129,372.94	0
9,240	15,799,653	Fiorentino	583	Germany	Female	32	7	94,753.55	2	1	1	18,149.03	0
9,241	15,723,872	Buccho	589	Spain	Female	46	10	0	2	0	1	168,369.37	0
9,242	15,775,627	Gordon	509	France	Male	35	8	0	2	0	1	67,431.28	0
9,243	15,630,704	Haworth	612	Germany	Male	32	9	106,520.73	2	1	0	177,092.16	0
9,244	15,815,534	Guidry	505	Spain	Male	37	0	134,006.39	1	1	1	93,736.69	0
9,245	15,697,249	Lettiere	546	Germany	Female	25	3	132,837.7	1	1	0	131,647.31	0
9,246	15,681,316	Tai	681	France	Female	41	0	120,549.29	2	1	0	175,722.31	0
9,247	15,682,523	Chigozie	762	France	Male	20	1	139,432.55	1	1	1	85,606.83	0
9,248	15,650,244	Bezrukov	786	Spain	Male	29	7	80,895.44	2	1	0	64,945.57	0
9,249	15,648,638	Chia	629	Spain	Male	34	6	0	2	1	0	190,347.72	0
9,250	15,795,747	Sheppard	787	Spain	Female	39	7	171,646.76	1	0	1	100,791.36	0
9,251	15,607,330	Vasilyev	713	Spain	Male	42	0	109,121.71	1	0	1	167,873.49	0
9,252	15,624,013	Maxwell	541	France	Female	39	6	109,844.81	1	1	0	25,289.23	0
9,253	15,800,805	Maher	451	France	Female	31	7	140,931.82	1	0	1	20,388.77	0
9,254	15,667,321	Cocci	644	Spain	Male	49	10	0	2	1	1	145,089.64	0
9,255	15,601,116	P'an	686	France	Male	32	6	0	2	1	1	179,093.26	0
9,256	15,622,033	Rapuluchukwu	847	Germany	Female	41	3	101,543.51	4	1	0	16,025.17	1
9,257	15,758,451	Azuka	765	Germany	Male	37	7	102,708.77	1	1	0	9,087.81	0
9,258	15,688,689	Esposito	678	Germany	Female	37	8	149,000.91	2	1	1	21,472.42	0
9,259	15,652,674	Hou	539	France	Male	20	0	83,459.86	1	1	1	146,752.67	0
9,260	15,806,327	Cyril	800	France	Female	40	3	75,893.11	2	1	0	132,562.23	0
9,261	15,649,618	Tomlinson	799	Germany	Female	39	7	167,395.6	2	0	1	139,537.43	0
9,262	15,677,117	Crawford	629	France	Female	61	6	0	2	1	1	133,672.61	0
9,263	15,751,445	Chikwado	734	Germany	Female	52	6	71,283.09	2	0	1	38,984.37	0
9,264	15,749,669	Hargreaves	542	France	Female	31	3	0	2	1	1	115,217.59	0
9,265	15,656,351	Laidley	414	Spain	Male	60	3	0	2	1	1	93,844.82	0
9,266	15,667,438	Ferguson	675	France	Female	38	1	104,016.88	1	0	0	22,068.83	1
9,267	15,682,273	Burns	683	France	Female	38	5	127,616.56	1	1	0	123,846.07	0
9,268	15,580,912	McNeill	748	France	Male	32	5	154,737.88	2	1	1	172,638.13	0
9,269	15,785,183	Chukwuebuka	596	Spain	Male	29	2	0	2	1	1	1,591.19	0
9,270	15,705,383	Shen	642	France	Male	35	4	125,476.31	1	1	1	91,775.51	0
9,271	15,712,903	Diaz	499	France	Female	21	3	176,511.08	1	1	1	153,920.22	0
9,272	15,774,285	Kentish	649	Spain	Female	47	8	110,783.28	1	1	1	71,420.16	0
9,273	15,583,138	Persse	739	France	Male	42	2	141,642.92	2	1	0	172,149.76	0
9,274	15,740,160	Okwukwe	616	France	Male	31	1	0	2	1	1	54,706.75	0
9,275	15,793,425	Watt	560	Spain	Female	33	9	0	1	0	1	183,358.21	0
9,276	15,749,265	Carslaw	427	Germany	Male	42	1	75,681.52	1	1	1	57,098	0
9,277	15,623,989	Griffin	435	France	Male	54	3	0	1	1	0	156,910.46	1
9,278	15,604,832	Hsia	633	France	Male	29	7	0	1	1	1	130,224.73	0
9,279	15,584,580	Fyodorova	443	France	Male	35	6	161,111.45	1	0	0	13,946.66	0
9,280	15,573,854	Chukwujekwu	727	France	Male	62	5	0	2	0	1	38,652.96	0
9,281	15,614,847	Townsend	674	France	Female	45	6	72,494.69	1	0	1	140,041.78	0
9,282	15,679,966	Marsh	661	France	Female	31	3	133,964.3	1	1	1	166,187.1	0
9,283	15,799,435	Hayes	619	Spain	Male	34	1	0	1	1	0	139,919.38	0
9,284	15,752,186	Padovano	562	France	Female	27	3	0	2	1	0	28,137.03	0
9,285	15,705,544	Ma	633	France	Male	61	3	157,201.48	1	0	1	50,368.63	0
9,286	15,713,632	Ham	551	Spain	Female	48	5	95,679.29	1	0	0	94,978.1	0
9,287	15,586,523	Paten	720	Germany	Female	29	7	106,230.92	1	1	1	69,903.93	1
9,288	15,609,176	Cawthorne	688	France	Female	32	5	0	2	0	1	177,607.77	0
9,289	15,769,308	Herbert	635	Germany	Female	36	9	81,231.85	2	1	0	196,731.08	0
9,290	15,676,810	Jen	561	France	Female	31	1	81,480.27	2	1	1	65,234.6	0
9,291	15,634,591	Saunders	850	France	Male	33	8	73,059.38	1	1	1	186,281	0
9,292	15,679,804	Esquivel	636	France	Male	36	5	117,559.05	2	1	1	111,573.3	0
9,293	15,677,764	Chao	461	Germany	Female	74	1	186,445.31	2	1	1	196,767.83	0
9,294	15,571,917	Eluemuno	771	Germany	Female	38	5	137,657.71	2	1	0	72,985.61	0
9,295	15,574,608	Sidorova	713	France	Male	36	8	133,889.35	1	1	1	143,265.65	0
9,296	15,740,868	Pirogova	658	Germany	Female	45	9	134,562.8	1	1	1	159,268.67	0
9,297	15,702,442	Benson	586	Germany	Female	56	9	100,781.75	2	1	1	54,448.41	0
9,298	15,699,797	Santana	737	France	Male	30	8	174,356.13	1	0	0	31,928.5	0
9,299	15,648,047	Williamson	742	Germany	Male	27	5	190,125.43	2	0	0	21,793.59	0
9,300	15,766,826	North	824	France	Male	26	7	146,266	1	1	0	21,903.62	1

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