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
2,201	15,641,114	Power	701	France	Male	37	8	130,091.5	1	1	1	120,031.29	0
2,202	15,682,435	P'eng	600	France	Male	35	4	143,744.77	2	1	0	104,076.51	0
2,203	15,751,788	Johnson	850	Spain	Male	28	9	97,408.03	1	1	1	175,853.64	0
2,204	15,672,598	Walker	613	Spain	Male	30	9	111,927.45	1	1	1	175,795.87	0
2,205	15,762,803	Innes	509	France	Male	31	3	0	2	1	0	15,360.91	0
2,206	15,812,982	Francis	509	Spain	Male	38	2	0	1	0	0	168,460.12	0
2,207	15,597,901	Chidozie	609	France	Male	34	1	0	1	1	1	181,177.9	0
2,208	15,731,507	Mackenzie	456	France	Female	33	1	188,285.68	1	0	0	58,363.94	0
2,209	15,809,826	Craigie	728	France	Female	46	2	109,705.52	1	1	0	20,276.87	1
2,210	15,764,237	Manfrin	663	Spain	Male	33	9	0	2	0	0	91,514.62	0
2,211	15,769,917	Onyekachi	673	Germany	Female	34	1	127,122.79	3	0	1	76,703.1	0
2,212	15,641,850	Pethard	717	France	Male	40	0	98,241.04	1	1	0	110,887.14	0
2,213	15,770,974	Nwabugwu	741	Germany	Female	37	8	170,840.08	2	0	0	109,843.16	0
2,214	15,803,749	DeRose	498	Germany	Female	41	4	87,541.06	2	1	1	12,577.21	1
2,215	15,684,999	Ch'eng	850	France	Female	26	4	62,610.96	2	0	1	179,365.1	0
2,216	15,770,225	Padovesi	493	France	Male	36	9	0	2	1	1	65,816.53	0
2,217	15,627,484	Obielumani	686	France	Female	47	5	113,328.93	1	1	0	124,170.9	0
2,218	15,610,337	Stephens	666	Spain	Male	35	2	104,832.49	1	1	0	175,015.12	0
2,219	15,752,488	Emery	733	Spain	Female	31	9	102,289.85	1	1	1	115,441.66	0
2,220	15,610,056	Dufresne	631	Germany	Female	34	6	125,227.82	2	0	1	128,247.03	0
2,221	15,806,049	Lee	714	Germany	Female	49	5	140,510.89	1	1	0	141,914.94	0
2,222	15,736,069	Hsing	767	Germany	Female	35	6	132,253.22	1	1	0	115,566.57	1
2,223	15,763,662	Longo	711	Germany	Male	43	2	39,043.29	2	1	1	175,423.69	0
2,224	15,615,575	Vial	722	France	Male	34	8	0	2	1	1	133,447.49	0
2,225	15,691,723	Chukwudi	631	Spain	Male	55	9	99,685.06	1	1	0	114,474.98	0
2,226	15,774,098	Grant	701	Germany	Male	38	3	125,385.49	2	0	1	52,044.66	0
2,227	15,750,808	Ma	790	Spain	Male	46	2	131,365.37	2	1	1	180,290.68	0
2,228	15,744,368	Sun	633	Spain	Male	58	6	98,308.51	1	1	1	132,034.13	0
2,229	15,610,594	Moss	644	France	Female	37	8	0	2	1	0	20,968.88	0
2,230	15,756,125	Booth	757	Spain	Male	44	5	140,856.16	2	1	0	158,735.1	0
2,231	15,623,277	Ross	696	France	Female	30	8	0	2	1	1	196,134.44	0
2,232	15,795,954	Ndukaku	746	France	Male	35	2	172,274.01	1	1	0	22,374.97	0
2,233	15,671,969	Pruneda	649	Spain	Male	36	8	0	2	1	0	161,668.15	0
2,234	15,791,268	Neumann	565	Spain	Male	38	0	122,447.76	1	0	0	67,339.34	0
2,235	15,713,655	Calabrese	720	France	Female	38	10	0	2	1	1	56,229.72	1
2,236	15,633,930	Yobachukwu	648	Spain	Female	56	6	157,559.59	2	1	0	140,991.23	1
2,237	15,712,849	Tung	632	Germany	Male	41	3	126,550.7	1	0	0	177,644.52	1
2,238	15,639,077	Marchesi	622	France	Female	30	2	158,584.82	3	1	0	142,342.55	1
2,239	15,808,784	Hess	835	France	Male	28	2	163,569.61	2	1	1	154,559.28	0
2,240	15,648,577	Pickering	493	France	Female	31	3	0	1	1	1	176,570.28	1
2,241	15,670,345	Mazzi	785	Germany	Female	33	6	127,211.45	1	0	0	191,961.83	0
2,242	15,633,112	Madukaego	681	Germany	Male	42	3	118,199.97	2	1	0	9,452.88	1
2,243	15,714,397	Trentino	621	Germany	Female	30	2	101,014.08	2	1	1	165,257.31	0
2,244	15,780,038	Paterson	756	Spain	Male	38	6	119,208.85	1	1	0	169,763.89	1
2,245	15,756,305	Marchesi	515	France	Female	66	6	0	2	1	1	160,663.11	0
2,246	15,578,799	Anayolisa	625	France	Female	58	10	53,772.73	1	1	1	192,072.1	1
2,247	15,800,326	Poole	717	Spain	Female	39	6	0	2	1	0	93,275.61	0
2,248	15,785,485	Zhou	595	Germany	Female	41	2	138,878.81	1	0	1	112,269.67	0
2,249	15,783,958	Bates	539	Spain	Female	37	1	130,922.81	2	0	0	2,186.83	0
2,250	15,727,546	Olejuru	762	France	Male	35	9	0	2	1	1	43,075.7	0
2,251	15,739,576	Bustard	706	Spain	Male	20	8	0	2	1	1	12,368.11	0
2,252	15,631,333	Wade	677	Spain	Female	25	8	130,866.19	1	1	0	42,410.21	0
2,253	15,604,782	Tan	733	Germany	Female	33	7	187,257.94	1	0	1	190,430.81	0
2,254	15,589,643	Ngozichukwuka	684	Spain	Female	41	7	0	1	1	1	138,394.37	0
2,255	15,585,533	Calabrese	679	France	Male	36	6	147,733.64	1	0	1	172,501.38	0
2,256	15,681,506	Lane	478	Spain	Male	43	1	0	2	1	1	197,916.43	0
2,257	15,630,551	Forbes	696	France	Male	33	2	163,139.27	1	1	1	7,035.36	0
2,258	15,698,349	Davy	686	Spain	Female	35	4	0	2	1	1	159,676.55	0
2,259	15,776,631	Ma	466	France	Female	36	5	119,540.15	1	0	1	80,603.99	0
2,260	15,762,216	Barrera	686	France	Female	41	4	129,553.76	2	1	0	187,599.8	0
2,261	15,623,927	Alexander	576	France	Male	55	9	0	2	1	1	94,450.97	0
2,262	15,681,402	Ngozichukwuka	763	Germany	Female	61	1	66,101.89	1	1	1	143,981.27	0
2,263	15,586,264	Murray	572	France	Male	43	2	140,431.98	1	1	0	26,450.57	1
2,264	15,594,685	Hall	757	France	Female	49	2	0	2	0	0	164,482.92	0
2,265	15,812,945	Padovesi	582	France	Female	29	0	0	1	1	1	84,012.81	0
2,266	15,734,628	Lysaght	623	France	Female	35	5	0	2	1	0	101,192.08	0
2,267	15,629,323	Kelechi	617	Germany	Female	37	4	116,471.43	2	1	0	175,324.74	1
2,268	15,666,823	Nebechi	425	France	Male	39	4	0	2	1	0	197,226.32	0
2,269	15,777,553	Hanson	659	France	Female	56	9	123,785.24	1	1	0	99,504.03	1
2,270	15,613,097	Kao	605	France	Female	33	4	0	2	0	1	83,700.66	0
2,271	15,622,217	Tu	538	France	Female	38	8	88,758.95	2	0	0	28,226.15	1
2,272	15,703,588	Palerma	665	Germany	Male	25	5	153,611.83	2	1	0	35,321.65	0
2,273	15,570,835	Fallaci	491	Germany	Female	57	4	112,044.72	1	1	1	41,229.73	1
2,274	15,679,299	Shen	726	Spain	Female	27	7	123,826.07	1	0	1	78,970.58	0
2,275	15,808,044	Ts'ui	580	France	Female	65	9	106,804.26	3	1	0	107,890.69	1
2,276	15,579,208	Chikezie	550	France	Female	48	6	0	2	1	1	191,870.28	0
2,277	15,684,951	He	542	France	Female	59	2	68,892.77	2	1	0	7,905.06	1
2,278	15,667,620	Dreyer	732	France	Female	43	6	0	2	1	0	65,731.53	0
2,279	15,582,960	Short	473	France	Female	33	5	125,827.43	1	0	1	145,698.73	0
2,280	15,590,730	Hunt	745	Spain	Male	34	9	0	2	1	0	50,046.25	0
2,281	15,763,747	Ricci	732	France	Male	36	7	0	2	1	1	60,830.24	0
2,282	15,778,320	Teng	848	Germany	Female	40	5	148,495.64	1	0	0	158,853.98	0
2,283	15,642,787	Ijendu	572	France	Male	37	1	133,043.66	1	0	0	111,243.09	0
2,284	15,624,633	Kibby	702	France	Male	45	9	74,989.58	1	1	1	171,014.69	0
2,285	15,766,765	Obiuto	664	Germany	Male	39	7	60,263.23	1	1	0	170,835.32	0
2,286	15,783,615	Ramos	630	Germany	Male	50	3	129,370.91	4	1	1	47,775.34	1
2,287	15,640,161	Calabrese	618	Germany	Male	44	5	157,955.83	2	0	0	139,297.71	0
2,288	15,619,889	Vasin	556	France	Male	26	4	0	1	1	0	195,167.38	0
2,289	15,579,166	Munro	619	France	Female	30	7	70,729.17	1	1	1	160,948.87	0
2,290	15,789,097	Keeley	644	France	Male	48	8	0	2	0	1	44,965.54	1
2,291	15,674,880	Archer	658	Spain	Male	50	2	0	2	1	0	52,137.73	0
2,292	15,778,157	Murray	598	Spain	Male	27	8	90,721.52	2	1	0	109,296.18	0
2,293	15,779,064	Chidiegwu	677	France	Male	27	2	0	2	1	1	20,092.89	0
2,294	15,801,265	Tang	689	Spain	Female	45	0	57,784.22	1	1	0	197,804	1
2,295	15,589,204	Farrar	591	France	Male	33	9	131,765.72	1	1	0	118,782.06	0
2,296	15,664,543	Shaw	699	France	Male	40	7	0	1	0	1	152,876.13	1
2,297	15,582,714	Napolitani	749	Germany	Male	47	9	110,022.74	1	0	1	135,655.29	1
2,298	15,797,595	Greenhalgh	709	France	Female	40	9	131,569.63	1	1	1	103,970.58	0
2,299	15,614,034	Martin	607	Germany	Male	61	2	164,523.5	2	1	1	35,786.76	0
2,300	15,763,171	Hu	650	Germany	Female	25	2	114,330.95	1	1	1	25,325.07	0

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