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
9,301	15,591,628	Davies	701	Germany	Male	41	9	164,046.1	1	1	0	49,405.93	0
9,302	15,583,857	Siciliano	623	Spain	Female	43	4	123,536.52	2	0	0	154,908.52	0
9,303	15,752,534	Mironov	744	France	Male	36	10	0	2	1	1	182,867.84	0
9,304	15,741,403	Amechi	698	Spain	Female	38	1	171,848.38	1	0	0	16,957.45	0
9,305	15,783,589	Toscano	616	France	Male	40	9	0	2	0	0	93,717.55	0
9,306	15,598,046	Su	662	France	Female	39	5	139,562.05	2	1	0	61,636.22	0
9,307	15,643,330	Chukwuemeka	594	France	Male	37	2	0	2	0	1	95,864.5	0
9,308	15,680,405	P'eng	685	France	Male	40	2	168,001.34	2	1	1	167,400.29	0
9,309	15,728,683	Lombardo	742	France	Male	27	0	0	2	0	1	131,534.96	0
9,310	15,621,644	Lombardi	678	Germany	Male	83	6	123,356.63	1	0	1	92,934.41	0
9,311	15,733,032	Butler	651	Spain	Male	47	2	0	2	1	1	119,808.64	0
9,312	15,608,381	Dean	585	Germany	Male	50	2	125,845.66	1	1	0	9,439.31	1
9,313	15,658,946	Piccio	579	Germany	Male	40	10	45,408.85	2	1	0	18,732.91	0
9,314	15,757,912	Bradley	722	Germany	Female	37	0	125,977.81	1	0	0	160,162.42	0
9,315	15,645,371	Cameron	613	Germany	Female	51	7	147,262.11	1	1	1	53,630.9	1
9,316	15,653,110	Chan	694	France	Male	42	8	133,767.19	1	1	0	36,405.21	0
9,317	15,766,355	Lettiere	550	Germany	Male	49	0	108,806.96	3	1	0	61,446.92	1
9,318	15,585,249	Mironova	741	France	Male	42	6	106,036.52	1	1	0	194,686.78	1
9,319	15,611,786	Tsui	668	Spain	Female	69	9	0	1	0	1	134,483.07	0
9,320	15,575,486	Okoli	529	France	Female	27	1	0	2	1	1	37,769.98	0
9,321	15,780,215	Berry	636	France	Male	31	6	0	2	1	1	2,382.61	0
9,322	15,686,099	Ruse	563	Spain	Male	61	1	82,182.1	1	1	0	106,826.92	1
9,323	15,739,042	Bogolyubov	767	France	Female	35	9	0	2	1	0	39,511.61	0
9,324	15,815,316	Kennedy	644	France	Male	50	9	76,817	4	1	0	196,371.13	1
9,325	15,778,489	Bolton	780	Germany	Male	71	9	142,550.25	2	1	1	122,506.78	0
9,326	15,786,389	Chuang	635	Spain	Female	41	10	0	2	1	1	61,994.2	0
9,327	15,601,787	Greco	641	Germany	Male	35	2	103,711.56	1	0	1	192,464.21	1
9,328	15,624,715	Ma	593	Spain	Female	40	2	0	1	1	1	5,194.95	0
9,329	15,763,093	Nucci	540	Germany	Female	35	7	128,369.75	2	1	0	198,256.15	0
9,330	15,572,073	Yao	663	Spain	Male	35	5	0	2	1	1	62,634.94	0
9,331	15,780,256	Palfreyman	630	France	Male	34	9	0	2	1	1	114,006.35	0
9,332	15,659,305	Webster	605	Germany	Male	19	8	166,133.28	1	1	1	107,994.99	0
9,333	15,638,882	Cardell	710	Germany	Female	62	9	148,214.36	1	1	0	48,571.14	1
9,334	15,714,680	Bianchi	755	France	Female	78	5	121,206.96	1	1	1	76,016.49	0
9,335	15,777,217	Somadina	641	Spain	Male	25	10	0	2	1	1	180,808.39	0
9,336	15,739,123	Mellor	737	Germany	Male	50	4	127,552.85	2	1	0	4,225.11	0
9,337	15,594,450	Tomlinson	695	France	Male	49	9	159,458.53	1	1	0	135,841.35	0
9,338	15,797,751	Pai	466	Germany	Female	47	5	102,085.72	1	1	1	183,536.24	1
9,339	15,691,543	Lennox	558	Germany	Male	58	2	142,537.18	1	1	1	88,791.83	0
9,340	15,722,845	Meldrum	665	Spain	Male	29	1	182,781.74	2	1	1	63,732.9	0
9,341	15,605,804	Watson	737	France	Male	45	10	0	2	1	0	1,364.54	0
9,342	15,702,061	Findlay	654	France	Male	29	7	0	2	1	1	149,184.15	0
9,343	15,694,321	Su	619	France	Female	28	3	0	2	1	0	53,394.12	0
9,344	15,798,749	Davidson	845	Germany	Female	43	3	152,063.59	2	1	0	97,910.06	0
9,345	15,720,050	Barrett	727	France	Female	28	2	110,997.76	1	1	0	101,433.76	0
9,346	15,758,048	Miah	582	France	Male	50	2	148,942	1	1	1	116,944.3	0
9,347	15,805,681	Chamberlain	716	France	Male	41	9	0	1	1	1	113,267.48	0
9,348	15,802,809	Vidal	660	Spain	Female	36	0	84,438.57	1	1	1	181,449.51	0
9,349	15,807,239	Lung	664	France	Female	34	7	93,920.47	1	0	0	179,913.98	0
9,350	15,749,093	Tretyakova	801	France	Male	43	4	158,713.08	2	0	0	98,586.14	0
9,351	15,689,344	Montgomery	615	Spain	Male	42	4	0	3	0	1	120,321.09	0
9,352	15,606,076	Golubev	718	Germany	Male	63	7	123,204.88	1	1	1	100,538.8	0
9,353	15,610,090	Han	667	France	Male	40	8	72,945.29	2	1	0	98,931.5	0
9,354	15,693,926	Pan	670	Spain	Male	37	0	178,742.71	1	1	1	194,493.57	0
9,355	15,791,501	Carroll	590	France	Male	43	8	0	2	1	1	143,628.31	0
9,356	15,621,870	Hawkins	739	Spain	Female	40	8	0	1	1	0	167,030.51	0
9,357	15,734,711	Loggia	373	France	Male	42	7	0	1	1	0	77,786.37	1
9,358	15,814,405	Chesnokova	418	France	Female	46	9	0	1	1	1	81,014.5	1
9,359	15,729,359	Chambers	837	France	Female	29	9	0	2	1	1	41,866.26	0
9,360	15,606,944	Fleming	645	Germany	Male	43	9	140,121.17	1	1	0	11,302.7	1
9,361	15,671,934	Veale	552	Germany	Male	39	2	132,906.88	1	0	1	149,384.43	0
9,362	15,641,773	Browne	580	Germany	Male	45	2	179,334.83	2	1	1	169,303.65	0
9,363	15,701,972	Parsons	684	France	Male	35	3	137,179.39	1	1	1	37,264.11	0
9,364	15,749,114	Bailey	634	Spain	Male	35	3	0	2	1	1	19,515.48	0
9,365	15,780,362	Ferrari	607	France	Female	49	9	119,960.29	2	1	0	103,068.22	0
9,366	15,753,229	Genovese	802	France	Male	29	9	127,414.55	1	1	1	134,459.12	0
9,367	15,656,009	McIntyre	736	France	Female	36	6	0	1	1	0	70,496.66	0
9,368	15,785,024	Warner	629	France	Female	40	9	137,409.19	1	1	0	175,877.7	1
9,369	15,670,492	Gordon	737	France	Male	28	8	0	2	1	0	106,390.01	0
9,370	15,795,458	McMillan	718	Spain	Female	39	2	0	1	1	1	52,138.49	0
9,371	15,732,438	Cheng	561	France	Male	43	4	0	4	0	0	18,522.91	1
9,372	15,781,987	Akhtar	641	France	Male	31	9	112,494.99	1	1	1	32,231.6	0
9,373	15,775,826	Iadanza	677	France	Male	30	1	78,133.15	1	0	1	174,225.88	0
9,374	15,807,457	Abernathy	641	Spain	Female	36	1	0	2	1	0	102,021.39	0
9,375	15,632,538	Watson	658	Spain	Female	32	5	145,553.07	1	1	1	31,484.76	0
9,376	15,641,389	Shen	659	Germany	Male	48	4	123,593.22	2	1	0	82,469.06	1
9,377	15,657,306	Kershaw	567	France	Female	47	2	0	1	0	0	110,900.43	1
9,378	15,709,447	Reed	584	France	Female	26	0	146,286.22	1	1	0	105,105.35	0
9,379	15,762,682	Mitchell	709	Spain	Female	35	1	111,827.27	2	1	0	12,674.68	0
9,380	15,626,042	Webb	690	Spain	Female	26	2	0	2	1	1	93,255.85	0
9,381	15,597,109	Vanzetti	627	France	Male	70	1	94,416.78	1	0	1	145,299.5	0
9,382	15,756,148	Nnanna	765	Spain	Male	45	2	91,549.78	1	1	1	47,139.44	0
9,383	15,665,634	Campbell	645	France	Female	38	7	59,568.57	1	1	1	167,723.25	0
9,384	15,739,997	Capon	716	France	Female	23	2	94,464.81	2	0	1	185,900.88	0
9,385	15,686,242	Otutodilichukwu	771	France	Female	57	4	0	1	0	0	85,876.67	1
9,386	15,759,244	Boone	687	Germany	Male	44	8	95,368.14	2	1	1	1,787.85	0
9,387	15,672,027	McIntyre	717	Germany	Female	33	10	102,185.42	2	1	0	23,231.93	0
9,388	15,594,576	Zhdanov	524	France	Male	32	1	144,875.71	1	0	0	187,740.04	0
9,389	15,707,138	Nagy	679	Spain	Male	39	5	0	2	1	1	100,060.54	0
9,390	15,756,954	Lombardo	538	France	Female	32	2	0	1	1	1	80,130.54	0
9,391	15,619,130	Simpson	752	Germany	Female	37	5	113,291.05	2	1	1	132,467.54	0
9,392	15,639,665	Herbert	846	Spain	Male	61	0	0	2	1	1	96,202.44	0
9,393	15,571,065	Lehr	532	Spain	Female	39	0	0	2	1	0	94,977.3	0
9,394	15,686,060	Chou	670	Germany	Male	43	9	111,677.88	1	1	0	178,827.3	1
9,395	15,615,753	Upchurch	597	Germany	Female	35	8	131,101.04	1	1	1	192,852.67	0
9,396	15,800,961	Ugorji	627	Germany	Male	52	1	76,101.81	2	0	1	177,238.35	0
9,397	15,763,065	Palerma	700	Spain	Female	40	2	0	2	1	0	199,753.97	0
9,398	15,672,467	Coles	766	France	Female	52	7	92,510.9	2	0	1	66,193.61	0
9,399	15,752,915	Hsueh	488	France	Female	34	2	0	2	1	1	181,270.84	0
9,400	15,744,695	Tu	694	France	Male	39	5	77,652.4	1	1	1	25,407.59	0

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