Datasets:

moaminsharifi
/

Churn_Modelling

Dataset card Viewer Files Files and versions Community

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
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