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
9,101	15,743,075	Ko	659	France	Male	35	6	0	2	1	1	58,879.11	0
9,102	15,660,980	Cairns	597	Spain	Male	38	6	115,702.67	2	1	1	25,059.05	0
9,103	15,810,942	Chiemela	445	Germany	Female	61	2	137,655.31	1	0	1	29,909.84	0
9,104	15,728,362	Robertson	671	France	Female	29	3	0	2	1	0	158,043.11	0
9,105	15,683,339	P'eng	656	Spain	Female	34	6	59,877.33	1	1	0	14,032.62	1
9,106	15,685,476	Tseng	658	France	Male	31	5	100,082.14	1	0	1	49,809.88	0
9,107	15,663,650	Russell	698	Germany	Male	52	10	107,304.39	3	1	0	28,806.32	1
9,108	15,617,434	Yen	655	Spain	Male	38	9	0	1	0	1	90,490.33	0
9,109	15,622,470	Yeh	772	Spain	Male	41	10	96,032.22	1	1	1	75,825.57	0
9,110	15,703,682	Kalinina	681	Spain	Male	33	10	0	1	0	0	158,336.36	0
9,111	15,727,391	Collier	688	Germany	Male	29	9	144,553.5	2	1	0	143,454.95	0
9,112	15,711,062	Thomas	633	Germany	Male	40	5	86,172.81	2	1	1	117,279.49	0
9,113	15,567,339	Shaw	735	France	Male	73	9	0	1	1	1	114,283.33	0
9,114	15,760,662	Francis	521	Germany	Female	29	2	87,212.8	1	1	1	994.86	0
9,115	15,605,737	George	541	France	Male	36	5	0	2	1	0	124,795.84	0
9,116	15,692,977	Ikenna	612	Germany	Female	36	2	130,700.92	2	0	0	77,592.8	0
9,117	15,672,082	Schatz	562	France	Male	62	3	0	2	1	0	105,986.01	0
9,118	15,600,280	Tao	703	France	Female	32	6	0	2	0	0	33,606.52	0
9,119	15,804,052	Scott	710	Spain	Male	23	6	0	2	1	1	134,188.11	0
9,120	15,576,065	Sims	731	Spain	Female	40	5	171,325.98	1	1	1	159,718.27	1
9,121	15,796,838	Chibugo	703	Spain	Male	58	4	92,930.92	1	0	1	85,148.78	0
9,122	15,693,526	Ku	618	France	Female	40	0	0	1	1	0	119,059.13	0
9,123	15,748,595	Stanton	689	France	Female	29	1	77,556.79	2	1	1	122,998.26	0
9,124	15,679,029	Kung	718	France	Male	33	7	102,874.28	1	0	0	117,841.06	0
9,125	15,753,639	Gibson	608	France	Male	37	5	146,093.39	2	0	0	160,593.41	0
9,126	15,604,138	Iheanacho	749	Spain	Male	34	2	0	1	0	0	174,189.04	1
9,127	15,666,095	Costa	753	Spain	Male	51	4	79,811.72	2	0	1	68,260.27	1
9,128	15,643,487	Sal	630	Spain	Male	39	10	105,473.74	1	0	0	58,854.88	1
9,129	15,764,033	Lin	693	Germany	Female	43	1	121,927.92	1	1	0	87,994.95	1
9,130	15,747,288	Ferri	838	Spain	Female	40	6	61,671.19	1	0	1	150,659.35	1
9,131	15,790,599	Yin	756	Germany	Female	39	5	149,363.12	2	1	1	109,098.39	0
9,132	15,737,705	Avdeyeva	775	France	Female	27	4	152,309.37	1	1	0	104,112	0
9,133	15,737,194	Tu	635	France	Female	33	5	0	2	1	0	122,949.71	0
9,134	15,726,776	Donnelly	705	Spain	Male	36	1	111,629.29	1	1	1	21,807.16	0
9,135	15,804,357	Loggia	481	France	Male	40	3	0	1	1	1	32,319.93	0
9,136	15,664,432	Chao	727	Spain	Female	49	7	96,296.78	1	1	0	190,457.87	1
9,137	15,688,984	Belonwu	595	France	Male	20	4	95,830.43	1	1	0	177,738.98	0
9,138	15,583,026	Welch	535	France	Female	38	0	135,919.33	1	1	0	80,425.65	0
9,139	15,771,668	Henderson	578	France	Male	59	10	185,966.64	1	0	0	9,445.42	1
9,140	15,779,904	Yobanna	597	France	Female	29	5	0	2	1	1	174,825.57	0
9,141	15,784,323	Gallo	449	France	Female	21	7	0	2	0	0	175,743.92	0
9,142	15,756,277	Wilson	850	Germany	Female	43	8	92,244.83	2	1	0	54,949.73	0
9,143	15,663,312	Marino	494	France	Female	35	9	112,727.06	2	1	0	183,752.91	0
9,144	15,793,197	Bailey	676	France	Female	34	8	100,359.54	1	0	0	46,038.28	0
9,145	15,731,463	Gboliwe	818	Germany	Male	43	10	105,301.5	1	1	1	78,941.59	0
9,146	15,621,768	Chukwuhaenye	712	Spain	Male	45	6	112,994.65	1	0	0	198,398.68	0
9,147	15,691,323	Bianchi	672	Germany	Male	40	4	89,025.88	2	1	0	188,892.19	0
9,148	15,781,326	Ford	636	France	Male	35	9	95,478.17	1	0	0	169,286.74	0
9,149	15,595,640	Rizzo	698	France	Male	37	8	0	2	0	0	145,004.39	0
9,150	15,814,331	Lung	597	Germany	Female	43	7	119,127.46	2	1	0	55,809.92	0
9,151	15,602,030	Ramirez	717	France	Male	28	4	128,206.79	1	1	1	54,272.12	0
9,152	15,747,974	Sabbatini	614	France	Male	49	1	0	2	1	0	192,440.54	0
9,153	15,611,315	Ts'ao	708	Germany	Female	23	4	71,433.08	1	1	0	103,697.57	0
9,154	15,636,977	Trevisan	507	Germany	Male	36	9	118,214.32	3	1	0	119,110.03	1
9,155	15,690,337	Chinwenma	581	France	Female	27	5	102,258.11	2	1	0	194,681.6	0
9,156	15,680,666	Berry	579	Spain	Female	39	2	151,963.26	2	1	0	158,948.63	0
9,157	15,679,551	Colombo	504	Spain	Female	46	2	163,764.84	1	1	1	165,122.55	1
9,158	15,778,915	Harris	737	France	Female	32	7	128,551.36	2	0	1	189,402.71	0
9,159	15,568,849	Bryan	540	Spain	Female	31	10	118,158.74	1	1	1	158,027.57	0
9,160	15,747,762	Chigozie	609	France	Male	32	7	118,520.41	1	0	0	3,815.48	0
9,161	15,753,679	Mullawirraburka	778	France	Male	24	4	0	2	1	1	162,809.2	0
9,162	15,750,049	Steele	621	France	Male	40	10	163,823.37	1	0	0	89,519.47	0
9,163	15,606,097	Zakharov	665	Germany	Male	63	7	104,469.58	1	1	1	25,165.36	1
9,164	15,802,368	Ch'eng	608	France	Female	47	6	0	1	1	1	126,012.57	0
9,165	15,767,488	Berry	680	Spain	Male	36	7	0	2	1	0	20,109.21	0
9,166	15,669,946	Jen	663	Germany	Female	46	2	141,726.88	1	1	1	58,257.23	0
9,167	15,612,103	Wang	627	Germany	Female	35	2	137,852.96	1	1	1	172,269.21	1
9,168	15,645,353	Chubb	607	France	Male	26	1	0	1	1	0	29,818.2	0
9,169	15,650,018	Chen	681	France	Female	43	8	154,100.3	1	0	0	114,659.81	0
9,170	15,659,002	Mazzanti	766	France	Female	45	6	0	2	0	0	147,184.74	0
9,171	15,616,028	T'ao	694	France	Male	30	2	0	3	0	1	15,039.41	0
9,172	15,660,475	Ndubueze	411	France	Female	54	9	0	1	0	1	76,621.49	0
9,173	15,652,615	Ferri	742	France	Male	39	8	140,004.96	1	1	1	92,985.78	0
9,174	15,653,572	Thornton	673	Spain	Male	43	8	127,132.96	1	0	1	6,009.27	1
9,175	15,628,059	DeRose	529	France	Male	61	1	0	2	1	1	191,370.97	0
9,176	15,703,413	Montes	519	France	Female	38	7	125,328.56	1	1	0	188,225.67	0
9,177	15,610,433	Kwemto	573	France	Male	35	9	0	2	1	0	11,743.89	0
9,178	15,770,548	Lucchese	453	Germany	Female	28	3	139,986.65	1	1	0	136,846.75	0
9,179	15,645,637	Huggins	798	Germany	Female	39	6	119,787.76	1	1	1	164,248.33	0
9,180	15,590,888	Wade	693	Spain	Female	34	10	107,556.06	2	0	0	154,631.35	0
9,181	15,568,326	Kenenna	637	France	Female	44	2	0	2	1	0	149,665.65	0
9,182	15,655,368	Wheeler	672	France	Male	47	1	0	1	0	0	91,574.92	0
9,183	15,665,579	Cartwright	597	France	Female	28	0	142,705.95	1	1	0	127,233.39	0
9,184	15,676,091	Iloerika	543	France	Male	42	7	0	1	1	1	56,650.47	0
9,185	15,716,984	Palermo	695	Spain	Female	56	4	0	2	1	0	84,644.76	0
9,186	15,715,078	Nkemakolam	584	France	Male	35	6	161,613.94	2	1	1	148,238.16	0
9,187	15,569,452	Butler	652	Germany	Female	58	3	116,353.2	2	0	1	193,502.9	0
9,188	15,628,863	Calabresi	601	France	Male	38	4	60,013.81	1	1	1	38,020.05	0
9,189	15,778,192	Nkemdilim	628	Spain	Male	28	4	0	2	1	1	176,750.81	0
9,190	15,793,723	Ch'iu	607	Germany	Male	32	9	144,272.07	2	1	0	176,580.63	0
9,191	15,798,943	Alexander	646	France	Female	46	8	0	2	1	0	133,059.15	0
9,192	15,764,708	Chiabuotu	572	France	Male	30	6	117,696.67	1	1	0	100,843.82	0
9,193	15,791,040	Vasilyeva	801	Spain	Male	58	1	79,954.61	2	1	1	30,484.19	0
9,194	15,631,512	Schneider	597	France	Female	26	8	149,989.39	1	1	0	42,330.58	0
9,195	15,640,106	Mason	613	France	Male	40	7	124,339.9	1	0	0	193,309.58	0
9,196	15,710,315	Chukwukadibia	529	Germany	Male	29	4	135,759.4	1	0	0	112,813.79	1
9,197	15,771,535	Tsui	794	Spain	Female	37	9	0	2	1	0	68,008.85	0
9,198	15,611,947	Banks	557	France	Male	34	3	83,074	1	1	0	132,673.22	0
9,199	15,670,266	Shih	499	France	Female	28	4	141,792.61	1	1	1	22,001.91	0
9,200	15,609,083	Tretiakova	544	France	Female	26	6	0	1	1	0	100,200.4	1

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