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
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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