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
9,201	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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