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
9,301	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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