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
2,101	15,804,814	Ts'ui	759	France	Male	40	4	0	2	1	0	124,615.59	0
2,102	15,778,934	Napolitani	678	Spain	Female	49	8	0	2	0	1	98,090.69	0
2,103	15,802,351	Beers	755	Germany	Female	33	6	90,560.3	2	1	1	42,607.69	0
2,104	15,630,241	Tretyakova	594	France	Male	61	3	62,391.22	1	1	1	192,434.11	0
2,105	15,719,561	Lin	768	France	Male	42	5	0	3	0	0	60,686.4	0
2,106	15,615,096	Costa	492	France	Female	31	7	0	2	1	1	49,463.44	0
2,107	15,659,931	Ibezimako	637	Germany	Female	55	1	123,378.2	1	1	0	81,431.99	1
2,108	15,714,586	Marcelo	646	Spain	Female	42	3	99,836.47	1	0	1	22,909.56	0
2,109	15,634,949	Hay	593	Germany	Male	74	5	161,434.36	2	1	1	65,532.17	0
2,110	15,589,224	Moore	596	Spain	Male	41	5	0	2	0	1	141,053.85	0
2,111	15,795,990	Lumholtz	722	Germany	Female	48	10	138,311.76	1	1	1	3,472.63	1
2,112	15,603,216	Simpson	642	France	Male	25	7	0	2	1	0	102,083.78	0
2,113	15,631,201	Hill	472	Spain	Female	28	4	0	2	1	0	1,801.77	0
2,114	15,686,255	Mouzon	738	Germany	Male	35	6	101,744.84	1	0	0	85,185.44	0
2,115	15,746,594	Wu	732	Spain	Male	33	8	0	1	1	0	119,882.7	0
2,116	15,718,893	Pirozzi	404	Germany	Female	54	4	125,456.07	1	1	0	83,715.66	1
2,117	15,671,609	Ibeabuchi	701	France	Male	44	7	0	2	1	0	23,425.78	0
2,118	15,652,540	Garnsey	683	France	Male	31	2	0	2	0	1	77,326.78	0
2,119	15,774,857	Synnot	460	France	Female	27	7	0	2	1	0	156,150.08	1
2,120	15,791,836	Wildman	690	France	Male	29	5	0	2	1	0	108,577.97	0
2,121	15,651,554	Anenechukwu	618	Germany	Female	54	4	118,449.21	1	1	1	133,573.29	1
2,122	15,583,576	Tai	671	France	Male	30	2	0	1	0	1	102,057.86	0
2,123	15,732,740	Plant	765	Spain	Female	32	9	178,095.55	1	0	0	47,247.56	0
2,124	15,723,320	Azubuike	651	Germany	Female	25	2	109,175.14	2	1	0	114,566.47	0
2,125	15,603,851	Galkin	704	France	Male	32	7	127,785.17	4	0	0	184,464.7	1
2,126	15,777,923	Johnston	544	France	Female	45	6	0	2	0	1	151,401.33	0
2,127	15,735,719	Babbage	790	France	Female	40	9	0	2	1	1	70,607.1	0
2,128	15,703,482	Walker	710	Germany	Male	34	9	134,260.36	2	1	0	147,074.67	0
2,129	15,605,835	Rice	743	France	Male	37	8	69,143.91	2	0	1	105,780.18	0
2,130	15,664,881	Norton	702	France	Male	34	4	100,054.77	1	1	0	109,496.45	0
2,131	15,757,568	Bogolyubov	704	France	Female	45	6	0	1	1	1	137,739.45	0
2,132	15,792,660	Gibbons	614	France	Male	38	2	116,248.88	1	1	0	105,140.92	0
2,133	15,599,722	Chia	609	Spain	Female	43	6	86,053.52	2	1	1	113,276.46	1
2,134	15,726,354	Smith	688	France	Female	32	6	123,157.95	1	1	0	172,531.23	0
2,135	15,610,355	Hunter	713	France	Male	44	1	63,438.91	1	1	0	64,375.4	0
2,136	15,704,284	Ekechukwu	736	Germany	Male	57	9	95,295.39	1	1	0	28,434.44	1
2,137	15,621,893	Bellucci	727	France	Male	18	4	133,550.67	1	1	1	46,941.41	0
2,138	15,588,219	Ford	850	France	Female	38	1	106,871.81	2	1	0	29,333.01	0
2,139	15,688,619	Scott	718	Spain	Male	45	3	105,266.32	2	1	1	193,724.51	0
2,140	15,765,518	Gregson	643	France	Female	51	2	105,229.53	1	1	0	34,967.75	1
2,141	15,616,931	Moore	653	France	Male	41	8	102,768.42	1	1	0	55,663.85	0
2,142	15,758,372	Wallace	674	France	Male	18	7	0	2	1	1	55,753.12	1
2,143	15,782,591	Cook	690	France	Male	35	6	112,689.95	1	1	0	176,962.31	0
2,144	15,612,109	Speth	819	France	Male	38	9	122,334.26	2	1	1	181,507.44	0
2,145	15,613,712	Boag	634	Spain	Male	34	1	0	2	1	0	61,995.57	0
2,146	15,639,322	Grave	633	Spain	Male	33	4	137,847.41	2	1	0	98,349.13	0
2,147	15,594,349	Streeten	850	France	Male	49	5	122,486.47	1	0	1	59,748.19	0
2,148	15,574,167	Fox	665	France	Male	33	2	101,286.11	1	1	1	159,840.51	0
2,149	15,811,842	Artemyeva	630	Spain	Male	26	7	0	2	1	1	6,656.64	0
2,150	15,648,794	Giordano	836	Spain	Male	57	4	101,247.06	1	1	0	37,141.62	1
2,151	15,771,211	Perkins	668	France	Male	38	10	86,977.96	1	0	1	37,094.75	0
2,152	15,588,614	Walton	753	France	Male	57	7	0	1	1	0	159,475.08	1
2,153	15,630,698	Hay	745	France	Female	55	9	110,123.59	1	0	1	51,548.14	1
2,154	15,694,200	Gardner	693	France	Male	36	8	178,111.82	1	0	0	58,719.63	1
2,155	15,721,426	Milne	606	Germany	Male	65	10	126,306.64	3	0	0	7,861.68	1
2,156	15,725,997	She	660	France	Female	35	6	100,768.77	1	1	0	19,199.61	0
2,157	15,762,138	Hu	608	France	Male	42	5	0	2	1	0	178,504.29	0
2,158	15,750,649	Uwakwe	744	France	Female	44	3	0	2	1	1	189,016.14	0
2,159	15,685,706	Bird	731	France	Female	40	7	118,991.79	1	1	1	156,048.64	0
2,160	15,641,835	Anderson	683	France	Male	72	3	140,997.26	1	0	1	52,876.41	0
2,161	15,586,821	Bellew	727	France	Male	28	5	0	2	0	1	19,653.08	0
2,162	15,569,678	Cocci	561	Germany	Male	32	6	166,824.59	1	1	0	139,451.98	0
2,163	15,793,842	Krichauff	700	France	Female	34	2	76,322.69	1	1	0	128,136.29	0
2,164	15,667,554	Cameron	605	France	Male	35	6	0	2	1	1	45,206.57	0
2,165	15,794,479	Becker	767	Spain	Male	77	8	149,083.7	1	1	1	190,146.83	0
2,166	15,585,041	Ainsworth	511	France	Male	33	7	0	2	0	1	158,313.87	0
2,167	15,780,650	Biryukov	667	France	Male	40	9	0	1	1	1	96,670.2	0
2,168	15,780,846	Redding	787	France	Male	33	1	126,588.81	2	0	1	62,163.53	0
2,169	15,805,260	Wood	705	Germany	Female	56	2	143,249.67	1	1	0	88,428.41	1
2,170	15,621,629	Scott	773	Germany	Male	43	8	81,844.91	2	1	1	35,908.46	0
2,171	15,662,151	Gould	554	France	Male	40	4	0	1	0	1	168,780.04	0
2,172	15,747,174	Hao	526	Germany	Male	58	9	190,298.89	2	1	1	191,263.76	0
2,173	15,651,585	Power	661	Germany	Male	35	2	117,212.18	1	1	1	83,052.03	0
2,174	15,649,738	White	698	France	Female	46	0	0	2	1	1	125,962.02	0
2,175	15,633,108	Thorpe	646	France	Male	26	4	139,848.17	1	1	0	164,696.27	0
2,176	15,769,254	Tuan	757	Germany	Female	34	9	101,861.36	2	0	0	187,011.96	0
2,177	15,704,746	Inman	699	Spain	Male	35	2	167,455.66	2	1	1	55,324.49	0
2,178	15,637,644	Hanson	667	France	Female	24	4	0	2	0	1	34,335.55	0
2,179	15,609,562	MacDonald	774	Spain	Female	43	1	116,360.07	1	1	0	17,004.14	0
2,180	15,787,459	Parkes	745	Spain	Male	40	3	88,466.82	1	0	0	116,331.42	0
2,181	15,762,902	Stanley	649	France	Female	42	7	0	2	0	1	22,974.01	0
2,182	15,738,605	Fischer	634	Germany	Female	46	5	123,642.36	1	1	1	49,725.16	1
2,183	15,724,889	Chinweuba	665	Spain	Male	38	9	0	1	0	1	87,412.74	0
2,184	15,730,735	Henning	713	France	Male	38	9	72,286.84	2	1	1	26,136.89	0
2,185	15,689,147	Ogochukwu	652	France	Female	40	1	0	2	1	0	126,554.96	0
2,186	15,730,397	Narelle	739	Spain	Male	40	1	109,681.61	1	1	1	193,321.3	0
2,187	15,762,169	Bergman	556	Germany	Male	37	9	145,018.64	2	1	0	90,928.02	1
2,188	15,589,320	Sagese	699	Spain	Male	34	8	0	1	1	1	76,510.46	0
2,189	15,799,211	Anenechi	708	Spain	Female	32	8	187,487.63	1	1	1	120,115.5	0
2,190	15,798,310	Palerma	480	France	Male	35	2	165,692.91	1	1	1	197,984.58	0
2,191	15,609,998	Okwudilichukwu	700	Germany	Female	59	5	137,648.41	1	1	0	142,977.05	1
2,192	15,583,548	Harrison	525	Spain	Female	47	6	118,560	1	1	0	82,522.61	1
2,193	15,761,763	Jamieson	845	France	Male	33	8	164,385.53	1	1	0	150,664.97	0
2,194	15,764,409	Goodman	613	France	Male	37	9	108,286.5	1	1	1	114,153.44	0
2,195	15,710,161	Ko	850	France	Female	34	2	0	2	1	1	171,706.66	0
2,196	15,735,246	Norman	798	Spain	Female	58	9	0	2	0	0	119,071.56	1
2,197	15,791,700	Ugochukwutubelum	773	Germany	Male	47	2	118,079.47	4	1	1	143,007.49	1
2,198	15,670,753	Uvarova	614	Spain	Male	35	2	127,283.78	1	1	1	31,302.35	0
2,199	15,573,876	Chia	473	Spain	Male	48	8	0	2	1	0	71,139.8	0
2,200	15,770,174	Piazza	762	France	Male	29	6	141,389.06	1	1	0	54,122.89	0

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