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
101	15,808,582	Fu	665	France	Female	40	6	0	1	1	1	161,848.03	0
102	15,743,192	Hung	623	France	Female	44	6	0	2	0	0	167,162.43	0
103	15,580,146	Hung	738	France	Male	31	9	82,674.15	1	1	0	41,970.72	0
104	15,776,605	Bradley	528	Spain	Male	36	7	0	2	1	0	60,536.56	0
105	15,804,919	Dunbabin	670	Spain	Female	65	1	0	1	1	1	177,655.68	1
106	15,613,854	Mauldon	622	Spain	Female	46	4	107,073.27	2	1	1	30,984.59	1
107	15,599,195	Stiger	582	Germany	Male	32	1	88,938.62	1	1	1	10,054.53	0
108	15,812,878	Parsons	785	Germany	Female	36	2	99,806.85	1	0	1	36,976.52	0
109	15,602,312	Walkom	605	Spain	Male	33	5	150,092.8	1	0	0	71,862.79	0
110	15,744,689	T'ang	479	Germany	Male	35	9	92,833.89	1	1	0	99,449.86	1
111	15,803,526	Eremenko	685	Germany	Male	30	3	90,536.81	1	0	1	63,082.88	0
112	15,665,790	Rowntree	538	Germany	Male	39	7	108,055.1	2	1	0	27,231.26	0
113	15,715,951	Thorpe	562	France	Male	42	2	100,238.35	1	0	0	86,797.41	0
114	15,591,100	Chiemela	675	Spain	Male	36	9	106,190.55	1	0	1	22,994.32	0
115	15,609,618	Fanucci	721	Germany	Male	28	9	154,475.54	2	0	1	101,300.94	1
116	15,675,522	Ko	628	Germany	Female	30	9	132,351.29	2	1	1	74,169.13	0
117	15,705,512	Welch	668	Germany	Female	37	6	167,864.4	1	1	0	115,638.29	0
118	15,698,028	Duncan	506	France	Female	41	1	0	2	1	0	31,766.3	0
119	15,661,670	Chidozie	524	Germany	Female	31	8	107,818.63	1	1	0	199,725.39	1
120	15,600,781	Wu	699	Germany	Male	34	4	185,173.81	2	1	0	120,834.48	0
121	15,682,472	Culbreth	828	France	Male	34	8	129,433.34	2	0	0	38,131.77	0
122	15,580,203	Kennedy	674	Spain	Male	39	6	120,193.42	1	0	0	100,130.95	0
123	15,690,673	Cameron	656	France	Female	39	6	0	2	1	0	141,069.88	0
124	15,760,085	Calabresi	684	Germany	Female	48	10	126,384.42	1	1	1	198,129.36	0
125	15,779,659	Zetticci	625	France	Female	28	3	0	1	0	0	183,646.41	0
126	15,627,360	Fuller	432	France	Male	42	9	152,603.45	1	1	0	110,265.24	1
127	15,671,137	MacDonald	549	France	Female	52	1	0	1	0	1	8,636.05	1
128	15,782,688	Piccio	625	Germany	Male	56	0	148,507.24	1	1	0	46,824.08	1
129	15,575,492	Kennedy	828	France	Female	41	7	0	2	1	0	171,378.77	0
130	15,591,607	Fernie	770	France	Male	24	9	101,827.07	1	1	0	167,256.35	0
131	15,740,404	He	758	France	Female	34	3	0	2	1	1	124,226.16	0
132	15,718,369	Kaodilinakachukwu	795	Germany	Female	33	9	130,862.43	1	1	1	114,935.21	0
133	15,677,871	Cocci	687	France	Male	38	9	122,570.87	1	1	1	35,608.88	0
134	15,642,004	Alekseeva	686	France	Male	25	1	0	2	0	1	16,459.37	0
135	15,712,543	Chinweike	789	Germany	Male	39	7	124,828.46	2	1	1	124,411.08	0
136	15,584,518	Arthur	589	Germany	Female	50	5	144,895.05	2	1	1	34,941.23	0
137	15,802,381	Li	461	Germany	Female	34	5	63,663.93	1	0	1	167,784.28	0
138	15,610,156	Ma	637	France	Male	40	2	133,463.1	1	0	1	93,165.34	0
139	15,594,408	Chia	584	Spain	Female	48	2	213,146.2	1	1	0	75,161.25	1
140	15,640,905	Vasin	579	Spain	Female	35	1	129,490.36	2	0	1	8,590.83	1
141	15,698,932	Groves	756	Germany	Male	44	10	137,452.09	1	1	0	189,543.9	0
142	15,724,944	Tien	663	France	Male	34	7	0	2	1	1	180,427.24	0
143	15,628,145	Forwood	682	France	Female	43	5	125,851.93	1	1	1	193,318.33	0
144	15,713,483	Greeves	793	Spain	Male	52	2	0	1	1	0	159,123.82	1
145	15,612,350	Taylor	691	France	Female	31	5	40,915.55	1	1	0	126,213.84	1
146	15,800,703	Madukwe	485	Spain	Female	21	5	113,157.22	1	1	1	54,141.5	0
147	15,705,707	Bennelong	635	Spain	Female	29	8	138,296.94	2	1	0	141,075.51	0
148	15,754,105	Olisanugo	650	France	Male	37	5	106,967.18	1	0	0	24,495.03	0
149	15,703,264	Chukwufumnanya	735	France	Male	44	9	120,681.63	1	1	0	74,836.34	0
150	15,794,413	Harris	416	France	Male	32	0	0	2	0	1	878.87	0
151	15,650,237	Morgan	754	Spain	Female	32	7	0	2	1	0	89,520.75	0
152	15,759,618	Alexeeva	535	France	Female	48	9	0	1	1	0	149,892.79	1
153	15,811,589	Metcalfe	716	Spain	Male	42	8	0	2	1	0	180,800.42	0
154	15,689,044	Humphries	539	France	Male	37	2	127,609.59	1	1	0	98,646.22	0
155	15,709,368	Milne	614	France	Female	43	6	0	2	1	1	109,041.53	0
156	15,679,145	Chou	706	Spain	Male	57	7	0	1	1	0	17,941.16	1
157	15,655,007	Li	758	France	Female	33	7	0	2	0	0	82,996.47	0
158	15,623,595	Clayton	586	Spain	Female	28	2	0	2	1	1	92,067.35	0
159	15,589,975	Maclean	646	France	Female	73	6	97,259.25	1	0	1	104,719.66	0
160	15,804,017	Chigolum	631	Germany	Female	33	4	123,246.7	1	0	0	112,687.57	0
161	15,692,132	Wilkinson	717	Spain	Female	22	6	101,060.25	1	0	1	84,699.56	0
162	15,641,122	Wei	684	France	Male	30	2	0	2	1	0	83,473.82	0
163	15,630,910	Treacy	800	France	Female	49	7	108,007.36	1	0	0	47,125.11	0
164	15,680,772	Hu	721	Spain	Female	36	2	0	2	1	1	106,977.8	0
165	15,658,929	Taverner	683	Spain	Male	29	0	133,702.89	1	1	0	55,582.54	1
166	15,585,388	Sherman	660	Germany	Male	31	9	125,189.75	2	1	1	139,874.43	0
167	15,724,623	Taubman	704	Germany	Female	24	7	113,034.22	1	1	0	162,503.48	1
168	15,588,537	Robinson	615	Spain	Female	41	9	109,013.23	1	1	0	196,499.96	0
169	15,574,692	Pinto	667	Spain	Female	39	2	0	2	1	0	40,721.24	1
170	15,611,325	Wood	682	Germany	Male	24	9	57,929.81	2	0	0	53,134.3	0
171	15,587,562	Hawkins	484	France	Female	29	4	130,114.39	1	1	0	164,017.89	0
172	15,613,172	Sun	628	Germany	Male	27	5	95,826.49	2	1	0	155,996.96	0
173	15,651,022	Yost	480	Germany	Male	44	10	129,608.57	1	1	0	5,472.7	1
174	15,586,310	Ting	578	France	Male	30	4	169,462.09	1	1	0	112,187.11	0
175	15,625,524	Rowe	512	France	Male	40	5	0	2	1	1	146,457.83	0
176	15,755,209	Fu	484	Spain	Female	35	7	133,868.21	1	1	1	27,286.1	0
177	15,645,248	Ho	510	France	Female	30	0	0	2	1	1	130,553.47	0
178	15,790,355	Okechukwu	606	Germany	Male	36	5	190,479.48	2	0	0	179,351.89	0
179	15,762,615	Campbell	597	Spain	Female	40	8	101,993.12	1	0	1	94,774.12	0
180	15,625,426	Ashbolt	754	Germany	Female	55	3	161,608.81	1	1	0	8,080.85	1
181	15,716,334	Rozier	850	Spain	Female	45	2	122,311.21	1	1	1	19,482.5	0
182	15,789,669	Hsia	510	France	Male	65	2	0	2	1	1	48,071.61	0
183	15,621,075	Ogbonnaya	778	Germany	Female	45	1	162,150.42	2	1	0	174,531.27	0
184	15,810,845	T'ang	636	France	Male	42	2	0	2	1	1	55,470.78	0
185	15,719,377	Cocci	804	France	Female	50	4	0	1	1	1	8,546.87	1
186	15,654,506	Chang	514	France	Male	32	8	0	2	1	0	95,857.18	0
187	15,771,977	T'ao	730	France	Female	39	1	99,010.67	1	1	0	194,945.8	0
188	15,708,710	Ford	525	Spain	Female	37	0	0	1	0	1	131,521.72	0
189	15,726,676	Marshall	616	Spain	Male	30	5	0	2	0	1	196,108.51	0
190	15,587,421	Tsai	687	Germany	Female	34	7	111,388.18	2	1	0	148,564.76	0
191	15,726,931	Onwumelu	715	France	Female	41	8	56,214.85	2	0	0	92,982.61	1
192	15,771,086	Graham	512	France	Female	36	3	84,327.77	2	1	0	17,675.36	0
193	15,756,850	Golovanov	479	France	Male	40	1	0	2	0	0	114,996.43	0
194	15,702,741	Potts	601	France	Male	32	8	93,012.89	1	1	0	86,957.42	0
195	15,679,200	Crawford	580	Spain	Male	29	9	61,710.44	2	1	0	128,077.8	0
196	15,594,815	Aleshire	807	France	Male	35	3	174,790.15	1	1	1	600.36	0
197	15,635,905	Moran	616	Spain	Female	32	6	0	2	1	1	43,001.46	0
198	15,777,892	Samsonova	721	Germany	Male	37	3	107,720.64	1	1	1	158,591.12	0
199	15,656,176	Jenkins	501	France	Male	57	10	0	2	1	1	47,847.19	0
200	15,811,127	Volkov	521	France	Male	35	6	96,423.84	1	1	0	10,488.44	0

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