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
2,301	15,647,266	Y?an	651	Spain	Female	45	10	135,923.16	1	1	0	18,732.84	0
2,302	15,757,577	Odili	676	France	Female	61	8	0	2	1	1	118,522.73	0
2,303	15,736,656	H?	723	France	Female	49	4	0	2	0	1	89,972.25	0
2,304	15,635,078	Chiemela	714	Spain	Male	45	0	124,693.48	1	0	1	187,194.15	0
2,305	15,680,141	Yuan	759	Spain	Female	35	7	147,936.42	1	1	1	106,785.7	0
2,306	15,576,945	Clements	582	France	Male	29	0	0	1	1	0	142,516.35	0
2,307	15,602,034	Kolesnikov	697	France	Female	34	2	126,558.92	1	1	0	73,334.43	0
2,308	15,732,020	Rutherford	610	Germany	Male	57	6	106,938.11	2	0	1	186,612.47	0
2,309	15,611,029	Hsiung	488	Germany	Female	33	4	140,002.35	1	1	0	123,613.81	0
2,310	15,621,210	Angelo	599	Germany	Male	46	9	123,444.72	1	1	1	31,368.08	1
2,311	15,569,222	Mendes	781	France	Male	32	6	147,107.91	1	1	1	40,066.95	0
2,312	15,664,639	McGregor	645	France	Male	19	9	128,514.84	1	0	0	175,969.19	0
2,313	15,724,223	Bronner	545	France	Female	55	5	0	1	0	0	10,034.77	1
2,314	15,644,621	Mironova	597	Germany	Female	40	9	106,756.01	2	1	0	151,167.94	0
2,315	15,756,056	Ku	561	Spain	Female	28	3	0	2	1	0	191,387.76	0
2,316	15,700,353	Evans	662	France	Female	37	6	0	2	1	0	51,229.17	0
2,317	15,624,388	Henderson	649	Germany	Female	50	5	155,393.32	1	1	1	87,351.42	1
2,318	15,627,212	Smith	630	France	Female	36	2	110,414.48	1	1	1	48,984.95	0
2,319	15,648,005	Russell	672	Spain	Male	33	2	0	2	1	1	182,738	0
2,320	15,681,446	Sun	636	Germany	Female	37	9	157,098.52	1	1	1	153,535.27	0
2,321	15,775,888	McDonald	593	Germany	Female	38	5	85,626.6	1	1	1	125,079.65	0
2,322	15,749,019	Wong	545	Germany	Male	45	6	93,796.42	2	1	1	162,321.26	0
2,323	15,709,928	Niu	567	Spain	Female	41	1	0	2	1	0	3,414.72	0
2,324	15,784,676	Fanucci	583	France	Male	51	6	125,268.03	2	1	0	165,082.25	0
2,325	15,748,116	Zetticci	681	France	Female	29	2	148,143.84	1	1	1	52,021.39	0
2,326	15,612,193	Hsia	762	Spain	Male	29	10	115,545.33	2	1	0	148,256.43	0
2,327	15,762,984	McIntosh	648	Spain	Male	35	7	0	2	0	0	122,899.01	0
2,328	15,613,713	Kozlova	644	France	Male	30	5	44,928.88	1	1	1	10,771.46	0
2,329	15,664,204	Meany	706	Spain	Male	29	2	0	2	1	1	18,255.51	0
2,330	15,639,415	Thompson	850	France	Male	35	3	162,442.35	1	1	0	183,566.78	0
2,331	15,806,332	Le Gallienne	484	Spain	Female	39	5	0	2	1	1	175,224.12	0
2,332	15,614,929	Cheng	508	Germany	Male	28	0	96,213.82	2	1	0	147,913.56	0
2,333	15,695,492	P'eng	439	France	Female	29	6	156,569.43	1	1	0	180,598.66	0
2,334	15,635,972	Lloyd	484	Spain	Male	36	8	0	2	1	0	186,136.48	0
2,335	15,616,380	Wheeler	803	Spain	Female	37	1	0	2	0	0	7,455.2	0
2,336	15,581,440	Christie	724	Germany	Female	48	6	110,463.25	2	1	1	80,552.11	1
2,337	15,654,390	He	640	France	Male	33	7	154,575.76	1	1	0	25,722.28	1
2,338	15,660,688	King	701	Spain	Female	35	9	0	2	0	0	170,996.86	0
2,339	15,806,307	Favors	537	France	Male	37	3	0	2	1	1	20,603.32	0
2,340	15,647,975	Vida	651	Germany	Male	26	5	147,037.32	1	0	0	141,763.26	0
2,341	15,595,728	Thomas	523	Germany	Male	41	0	119,276.31	1	0	0	122,284.38	1
2,342	15,735,388	Wayn	717	France	Female	25	7	108,664.85	2	1	0	190,011.85	0
2,343	15,788,535	Tan	593	Spain	Male	44	5	0	1	1	0	128,046.98	0
2,344	15,765,902	Gibson	706	Germany	Male	38	5	163,034.82	2	1	1	135,662.17	0
2,345	15,642,345	Y?	714	Germany	Female	49	4	93,059.34	1	1	0	7,571.51	1
2,346	15,641,250	Calabresi	794	Spain	Male	38	9	179,581.31	1	1	0	23,596.24	0
2,347	15,706,163	Enyinnaya	518	Germany	Male	46	4	113,625.93	1	0	0	92,727.42	1
2,348	15,746,708	Ritchie	589	Germany	Male	55	7	119,961.48	1	1	0	65,156.83	1
2,349	15,775,203	Chia	824	France	Male	45	3	129,209.48	1	0	0	60,151.77	0
2,350	15,787,907	Wang	719	Germany	Female	42	5	137,227.04	3	1	0	149,097.38	1
2,351	15,646,764	Lorenzo	617	Germany	Female	58	3	119,024.75	2	1	0	35,199.24	1
2,352	15,678,284	Pai	651	France	Male	35	7	74,623.5	3	1	0	129,451.29	1
2,353	15,726,791	Nuttall	637	Spain	Female	45	2	157,929.45	1	1	1	145,134.49	1
2,354	15,813,144	Osborne	554	France	Female	26	7	92,606.86	2	1	0	192,709.69	0
2,355	15,669,342	Ferri	731	Germany	Male	35	2	127,862.93	2	1	0	139,083.7	0
2,356	15,710,366	Hamilton	569	Spain	Female	42	1	0	1	1	1	83,629.6	1
2,357	15,614,934	McEwan	625	Germany	Female	37	4	142,711.81	1	1	0	35,625.41	0
2,358	15,588,701	Lai	592	France	Female	38	4	0	2	1	0	35,338.96	0
2,359	15,665,438	Hs?	669	France	Male	43	1	163,159.85	1	0	1	15,602.8	0
2,360	15,644,896	Thompson	663	Germany	Male	32	3	108,586.86	1	1	1	182,355.21	0
2,361	15,670,205	Boyd	518	Germany	Female	41	5	110,624.99	1	1	0	89,327.67	0
2,362	15,635,776	Trevisani	686	Germany	Female	43	5	154,846.24	2	1	1	151,903.6	0
2,363	15,791,053	Lucciano	709	Germany	Male	45	4	122,917.71	1	1	1	11.58	1
2,364	15,644,005	Holman	571	France	Female	33	9	0	2	0	1	77,519.62	0
2,365	15,796,343	Bazhenov	707	France	Female	31	2	82,787.93	2	0	0	91,423.69	0
2,366	15,751,057	Douglas	701	Germany	Male	32	5	102,500.34	1	0	0	106,287.77	0
2,367	15,623,430	Hill	672	France	Male	34	9	0	2	1	0	161,800.77	0
2,368	15,682,600	Lo	620	Germany	Male	39	9	159,492.79	1	1	0	80,582.34	1
2,369	15,769,312	Forbes	557	Spain	Male	48	10	0	2	1	1	185,094.48	0
2,370	15,708,212	Lin	648	Spain	Female	54	7	118,241.02	1	1	0	172,586.89	1
2,371	15,650,258	Sinclair	479	France	Female	35	2	113,090.4	1	1	0	195,649.79	0
2,372	15,604,345	Kemp	730	France	Female	22	9	65,763.57	1	1	1	145,792.01	0
2,373	15,578,297	Ebelegbulam	737	Germany	Female	43	1	125,537.38	1	1	0	138,510.01	1
2,374	15,671,789	Woods	616	France	Male	31	3	94,263.91	2	1	0	168,895.06	0
2,375	15,726,186	Genovese	639	Spain	Male	29	4	133,434.57	2	1	0	97,983.44	0
2,376	15,764,618	Tseng	815	Spain	Female	39	6	0	1	1	1	85,167.88	0
2,377	15,730,738	Chiang	786	Spain	Male	31	9	0	2	1	1	18,210.36	0
2,378	15,637,650	Williams	549	France	Male	50	9	94,748.76	2	0	1	13,608.18	0
2,379	15,606,267	Wilson	622	France	Female	38	4	98,640.74	1	1	1	110,457.99	0
2,380	15,625,904	Wang	624	France	Male	26	9	74,681.9	2	0	0	31,231.35	0
2,381	15,654,463	Moore	841	France	Male	34	4	0	2	1	0	141,582.66	0
2,382	15,774,151	Iadanza	614	Spain	Female	41	7	179,915.85	1	0	0	14,666.35	1
2,383	15,693,259	Wallace	676	France	Male	30	1	128,207.23	1	1	1	55,400.17	0
2,384	15,642,468	Clark	697	France	Male	42	9	132,739.26	2	0	0	174,667.65	0
2,385	15,758,531	Y?	732	France	Female	40	10	0	2	1	0	154,189.08	0
2,386	15,728,352	Yermakov	623	France	Male	27	4	120,509.81	1	0	0	142,170.44	0
2,387	15,637,240	Wei	541	France	Male	46	4	124,547.13	2	1	0	94,499.06	0
2,388	15,595,588	Chukwunonso	773	Spain	Female	39	4	0	2	0	1	182,081.45	0
2,389	15,778,395	McIntyre	762	Germany	Male	34	4	88,815.56	2	1	0	68,562.26	1
2,390	15,711,825	Ts'ai	655	Spain	Female	35	1	82,231.51	2	1	0	88,798.02	0
2,391	15,599,251	Chung	602	Germany	Male	32	7	184,715.86	2	1	0	113,781.99	0
2,392	15,570,004	Tsou	850	France	Male	31	3	0	2	1	0	121,866.87	0
2,393	15,656,912	Aitken	649	Spain	Male	51	4	0	1	1	1	150,390.57	0
2,394	15,657,342	Dawson	850	Germany	Male	28	4	147,972.19	1	1	0	60,708.72	1
2,395	15,716,284	Ward	543	France	Male	43	9	0	2	1	1	78,858.07	0
2,396	15,672,374	Pai	672	France	Male	52	8	170,008.84	1	0	0	56,407.42	1
2,397	15,732,476	Ifeanyichukwu	600	France	Female	27	3	0	2	0	1	125,698.97	0
2,398	15,747,724	Briggs	671	Spain	Female	34	10	0	1	1	0	23,235.38	0
2,399	15,633,877	Morrison	706	Spain	Female	42	8	95,386.82	1	1	1	75,732.25	0
2,400	15,672,516	Wall	541	Germany	Male	51	7	90,373.28	2	1	0	179,861.79	0

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