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
7,101	15,668,830	Wan	650	Spain	Male	24	8	108,881.73	1	1	0	104,492.83	0
7,102	15,796,569	Donaldson	831	Spain	Female	44	10	0	1	0	1	47,729.33	0
7,103	15,677,112	Chukwufumnanya	519	France	Male	39	2	112,957.26	2	1	0	97,593.16	0
7,104	15,815,040	Ma	552	Germany	Female	42	8	103,362.14	1	0	1	186,869.58	1
7,105	15,590,434	Alexander	577	Spain	Male	41	4	89,015.61	1	0	1	135,227.23	0
7,106	15,597,536	Nkemjika	576	Spain	Male	45	5	133,618.01	1	0	0	135,244.87	0
7,107	15,723,989	Carroll	646	France	Male	40	5	93,680.43	2	1	1	179,473.26	0
7,108	15,767,358	Obioma	711	Germany	Female	45	1	97,486.15	2	1	0	50,610.62	0
7,109	15,594,812	Campbell	806	Spain	Female	37	2	137,794.18	2	0	1	75,232.02	0
7,110	15,688,210	Sims	670	France	Female	39	8	101,928.51	1	0	0	89,205.54	0
7,111	15,681,509	McKay	679	Spain	Female	28	9	0	2	0	1	61,761.77	0
7,112	15,572,390	Huang	850	Spain	Female	39	6	0	2	1	0	103,921.43	0
7,113	15,801,441	Campbell	670	Germany	Female	35	2	79,585.96	1	0	1	198,802.9	0
7,114	15,783,859	Boni	733	France	Female	24	3	161,884.99	1	1	1	9,617.24	0
7,115	15,575,243	Gorbunova	764	France	Female	39	1	129,068.54	2	1	1	187,905.12	0
7,116	15,773,421	Genovese	673	France	Female	42	4	0	2	1	0	121,440.8	0
7,117	15,788,776	Landor	588	Germany	Male	49	6	132,623.76	3	1	0	36,292.94	1
7,118	15,765,257	Meng	564	Spain	Male	31	5	121,461.87	1	1	1	20,432.09	1
7,119	15,661,412	Wardell	715	France	Male	32	8	175,307.32	1	1	0	187,051.23	0
7,120	15,636,478	Williams	621	France	Male	31	7	136,658.61	1	1	1	148,689.13	0
7,121	15,603,683	Ofodile	796	Spain	Female	23	3	146,584.19	2	0	0	125,445.8	0
7,122	15,651,868	Clark	672	France	Male	34	6	0	1	0	0	22,736.06	0
7,123	15,815,443	Lo	527	Spain	Female	46	10	131,414.76	1	1	0	54,947.51	0
7,124	15,682,686	Chukwuemeka	722	France	Female	38	3	0	2	0	1	167,984.72	0
7,125	15,697,460	Lai	596	Germany	Male	34	4	99,441.21	2	0	1	4,802.27	0
7,126	15,748,432	Arcuri	746	France	Female	32	4	0	2	1	1	72,909.75	0
7,127	15,698,271	Graham	523	France	Female	26	4	0	2	1	0	185,488.81	0
7,128	15,808,662	Krylov	624	France	Male	44	3	0	2	1	0	88,407.51	0
7,129	15,690,372	Henry	553	Spain	Male	38	1	181,110.13	2	1	0	184,544.59	0
7,130	15,781,875	Jamieson	850	Spain	Male	33	3	100,476.46	2	1	1	136,539.13	0
7,131	15,801,473	Moore	599	Germany	Male	33	2	51,949.95	2	1	0	85,045.92	0
7,132	15,704,509	Tan	492	France	Male	35	8	121,063.49	1	0	0	85,421.48	0
7,133	15,694,666	Thornton	707	Spain	Male	48	8	88,441.64	1	1	1	119,903.2	1
7,134	15,731,166	Macleod	743	France	Female	30	1	127,023.39	1	1	1	138,780.89	0
7,135	15,728,523	Rizzo	522	France	Male	41	5	144,147.68	1	1	1	14,789.9	0
7,136	15,788,442	Chukwukadibia	681	Spain	Female	57	2	173,306.13	1	0	1	131,964.66	0
7,137	15,689,781	Ts'ai	826	France	Female	49	0	0	1	0	0	178,709.98	1
7,138	15,764,226	Lu	630	Germany	Female	28	8	106,425.75	1	1	1	20,344.84	0
7,139	15,809,837	Kent	430	Germany	Female	66	6	135,392.31	2	1	1	172,852.06	1
7,140	15,805,212	Black	806	France	Female	67	1	0	2	0	1	103,945.58	0
7,141	15,716,082	Chukwubuikem	703	Spain	Male	39	6	152,685.4	1	0	0	183,656.12	0
7,142	15,643,056	McMillan	755	Germany	Female	38	1	82,083.52	1	0	1	10,333.78	0
7,143	15,654,859	Ngozichukwuka	612	Spain	Female	63	2	131,629.17	2	1	0	122,109.58	1
7,144	15,761,158	Y?an	719	France	Female	54	7	0	2	1	1	125,041.52	0
7,145	15,577,515	Sung	554	Germany	Female	55	0	108,477.27	1	0	1	140,003	1
7,146	15,723,827	Macartney	683	France	Male	30	4	114,779.35	1	0	0	183,171.47	0
7,147	15,646,594	Ali	749	France	Male	41	5	57,568.94	1	1	1	61,128.29	0
7,148	15,712,877	Morley	724	Spain	Male	36	1	0	2	1	0	52,462.25	0
7,149	15,598,802	Martin	770	Spain	Male	30	8	0	2	0	1	50,839.85	0
7,150	15,699,340	Okorie	680	France	Male	37	4	0	2	1	0	61,240.87	0
7,151	15,691,150	Ku	699	France	Female	32	4	110,559.46	1	1	1	127,429.56	0
7,152	15,608,688	Andreyeva	442	France	Male	34	4	0	2	1	0	68,343.08	0
7,153	15,737,998	Cheng	529	France	Male	46	8	0	1	0	0	126,511.94	1
7,154	15,735,837	Hsia	574	Spain	Male	36	3	0	2	1	1	8,559.66	0
7,155	15,659,100	Lane	605	France	Male	33	9	128,152.82	1	0	0	147,822.81	0
7,156	15,609,070	Findlay	515	Germany	Male	45	7	120,961.5	3	1	1	39,288.11	1
7,157	15,650,313	Okonkwo	632	Germany	Male	65	6	129,472.33	1	1	1	85,179.48	0
7,158	15,627,699	Pirogova	558	France	Male	32	10	105,000.23	1	1	0	190,019.61	0
7,159	15,591,010	McDonald	434	Germany	Male	55	8	109,339.17	2	1	0	96,405.88	1
7,160	15,798,895	Okonkwo	525	France	Female	59	6	55,328.4	1	1	0	83,342.73	1
7,161	15,745,375	Nnanna	640	Germany	Male	23	3	72,012.76	1	1	0	161,333.13	0
7,162	15,775,235	Ku	690	France	Female	36	6	110,480.48	1	0	0	81,292.33	0
7,163	15,780,088	Porter	607	Spain	Male	34	9	132,439.99	1	1	0	177,747.72	0
7,164	15,649,379	Somayina	850	France	Female	46	3	0	2	1	1	187,980.21	0
7,165	15,713,983	Mao	780	Germany	Male	34	5	94,108.54	2	1	0	177,235.21	0
7,166	15,709,252	Fuller	616	Germany	Female	28	10	105,173.99	1	0	1	29,835.37	1
7,167	15,699,238	Craig	618	Spain	Female	40	8	0	2	1	0	80,204.38	0
7,168	15,732,884	Trevisano	676	France	Male	29	7	131,959.86	1	0	0	189,268.81	0
7,169	15,587,297	Ruiz	507	France	Male	33	7	0	2	1	1	85,411.01	0
7,170	15,684,722	Fraser	490	France	Male	34	5	122,952.9	2	0	0	154,360.97	0
7,171	15,621,244	Gallo	678	France	Male	36	0	107,379.68	1	1	1	84,460.18	0
7,172	15,744,273	Waterhouse	637	Germany	Male	30	6	122,641.56	2	1	0	65,618.01	0
7,173	15,682,540	Cremonesi	602	France	Female	33	8	0	2	1	1	112,928.74	0
7,174	15,636,521	Feng	744	Spain	Female	30	1	124,037.28	1	1	1	142,210.94	0
7,175	15,785,339	H?	640	France	Female	50	9	117,565.03	2	0	0	82,559.77	0
7,176	15,638,983	Jara	684	France	Female	38	5	133,189.4	1	0	0	127,388.06	0
7,177	15,654,625	Wilson	495	Germany	Male	39	8	120,252.02	2	1	1	10,160.23	0
7,178	15,697,310	O'Callaghan	559	Germany	Female	28	3	152,264.81	1	0	0	64,242.31	0
7,179	15,678,210	Robson	684	France	Male	38	5	105,069.98	2	1	1	198,355.28	0
7,180	15,575,438	Pease	613	France	Male	42	7	115,076.06	1	1	1	79,323.61	0
7,181	15,632,789	Maclean	794	France	Male	30	8	0	2	1	1	24,113.91	0
7,182	15,621,423	Lavrentyev	736	France	Female	42	7	117,280.23	3	0	0	41,921.06	1
7,183	15,573,520	Rhodes	692	Germany	Male	49	6	110,540.43	2	0	1	107,472.99	0
7,184	15,740,458	Murphy	703	Spain	Male	36	7	135,095.47	1	1	0	143,859.66	0
7,185	15,762,799	Alexander	720	Germany	Male	23	0	187,861.18	2	1	1	104,120.17	0
7,186	15,686,885	Nekrasov	777	Germany	Male	44	3	124,655.59	2	0	1	79,792.3	0
7,187	15,565,996	Arnold	653	France	Male	44	8	0	2	1	1	154,639.72	0
7,188	15,662,152	Trevisan	552	France	Female	38	9	134,105.01	1	0	0	57,850.1	0
7,189	15,711,742	Mason	708	France	Female	34	4	0	1	1	1	62,868.33	0
7,190	15,701,885	Tucker	647	France	Female	40	9	0	2	0	1	92,357.21	0
7,191	15,774,262	Hobson	597	Germany	Male	52	8	83,693.34	2	1	1	161,083.53	0
7,192	15,567,839	Gordon	501	France	Male	42	9	114,631.23	1	0	1	91,429.74	0
7,193	15,644,400	Anderson	709	France	Male	44	9	128,601.98	1	1	0	117,031.2	0
7,194	15,797,246	Terry	621	Germany	Female	34	2	91,258.52	2	1	0	44,857.4	0
7,195	15,778,290	Lappin	799	France	Male	70	8	70,416.75	1	1	1	36,483.52	0
7,196	15,708,714	Santiago	675	France	Female	33	6	0	2	1	0	34,045.61	0
7,197	15,586,183	Wallace	561	France	Female	35	5	0	2	1	0	59,981.62	0
7,198	15,761,733	King	707	France	Female	42	10	0	2	1	1	152,944.39	0
7,199	15,773,934	Fang	670	France	Male	33	6	88,294.6	1	1	0	66,979.06	0
7,200	15,705,343	May	649	Spain	Female	32	7	0	1	1	0	28,797.32	0

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