Datasets:
An24
/
Churn_Modelling

Dataset card Data Studio Files
xet
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France
Female
40
5
0
2
0
1
177,099.71
0
3,002
15,675,949
Fleming
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Spain
Female
43
4
0
2
1
1
66,406.37
0
3,003
15,672,091
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32
2
104,336.43
2
0
0
59,559.81
0
3,004
15,801,658
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France
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55
6
104,305.74
1
0
1
175,750.21
0
3,005
15,706,185
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Germany
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47
5
140,187.1
2
1
1
174,311.3
0
3,006
15,789,863
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683
France
Male
39
4
0
2
1
0
171,716.81
0
3,007
15,720,943
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747
France
Female
45
1
114,959.12
1
1
0
189,362.39
1
3,008
15,697,997
Jamieson
602
France
Male
33
5
164,704.38
1
0
1
180,716.1
1
3,009
15,665,416
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France
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62
10
119,096.55
1
0
1
116,977.89
0
3,010
15,660,200
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France
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31
1
0
2
1
1
185,105.44
0
3,011
15,619,653
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France
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47
2
0
1
1
0
35,046.97
1
3,012
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Spain
Male
30
8
0
1
1
0
36,251
0
3,013
15,739,160
Mahon
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France
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41
9
115,465.28
1
1
0
103,174.5
0
3,014
15,689,237
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France
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27
4
0
2
1
0
122,642.09
0
3,015
15,679,297
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Spain
Male
43
3
184,926.61
1
1
0
122,937.57
0
3,016
15,591,433
Miles
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Germany
Male
43
8
85,957.88
2
1
0
8,757.39
0
3,017
15,642,725
Madison
797
France
Male
32
10
114,084.6
1
0
1
125,782.29
0
3,018
15,701,962
Scott
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Spain
Female
29
2
166,930.76
2
1
0
122,487.73
0
3,019
15,811,613
Voss
588
France
Female
27
8
0
1
1
0
20,066.38
0
3,020
15,741,049
Colebatch
577
France
Male
29
7
0
2
1
1
55,473.15
0
3,021
15,724,423
Wilson
571
France
Female
38
6
107,193.82
2
0
0
38,962.94
0
3,022
15,574,305
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France
Male
36
3
116,275.12
1
1
1
63,795.8
0
3,023
15,678,168
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Spain
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27
7
0
2
1
1
163,060.43
0
3,024
15,697,020
Hs?eh
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France
Male
39
2
91,068.56
1
1
0
26,578.69
0
3,025
15,610,801
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Germany
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41
5
123,049.21
1
0
1
5,066.76
0
3,026
15,745,232
Chikelu
759
France
Female
39
6
0
2
1
1
140,497.67
0
3,027
15,722,758
Allan
585
France
Male
40
7
0
2
0
0
146,156.98
0
3,028
15,792,102
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France
Female
42
3
137,781.65
1
0
0
199,316.19
0
3,029
15,675,185
Chuang
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Germany
Female
48
2
108,128.96
2
1
1
103,944.37
0
3,030
15,801,247
Fan
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Spain
Male
39
10
105,317.73
2
1
0
138,021.36
0
3,031
15,725,660
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France
Male
20
1
80,569.73
1
0
0
68,621.98
0
3,032
15,638,963
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France
Female
22
4
174,852.89
1
1
1
28,149.06
0
3,033
15,800,061
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Female
45
3
89,158.94
3
1
0
135,169.76
1
3,034
15,578,006
Yao
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France
Female
85
10
0
2
1
1
116,537.96
0
3,035
15,668,504
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France
Male
36
2
89,800.14
1
1
1
105,922.69
0
3,036
15,687,491
Nkemdilim
817
Germany
Male
45
9
101,207.75
1
0
0
88,211.12
1
3,037
15,610,403
Anderson
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France
Male
43
1
106,086.42
2
1
0
26,900.63
0
3,038
15,741,094
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France
Male
21
1
0
2
1
1
3,494.02
0
3,039
15,807,909
Rubensohn
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France
Male
47
9
0
2
1
0
113,163.17
0
3,040
15,666,141
Baldwin
829
Spain
Female
26
8
101,440.36
2
1
1
19,324.5
0
3,041
15,617,134
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France
Male
38
4
0
2
1
0
189,678.7
0
3,042
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34
7
106,603.74
2
1
1
26,387.71
0
3,043
15,622,833
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29
10
130,420.2
2
0
0
106,276.55
0
3,044
15,746,422
Muir
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38
1
0
1
1
0
45,015.38
0
3,045
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2
45,022.23
1
1
1
173,495.77
0
3,046
15,749,130
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27
1
74,298.43
1
1
1
52,581.96
0
3,047
15,779,862
Lyons
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31
3
133,003.03
1
0
1
146,339.27
1
3,048
15,767,871
H?
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48
7
0
2
1
1
182,609.97
0
3,049
15,679,651
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1
136,689.66
1
1
0
197,890.65
0
3,050
15,576,219
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4
0
2
1
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5
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2
1
1
123,977.86
1
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1
102,520.37
1
1
1
170,195.4
0
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15,605,327
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35
2
0
2
1
1
114,190.3
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34
5
0
2
1
0
27,022.57
0
3,055
15,791,174
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1
88,382.01
1
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1
59,457
0
3,056
15,602,373
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4
115,049.15
2
1
0
165,038.41
0
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15,762,605
Wall
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France
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58
1
104,796.54
1
1
1
154,181.41
0
3,058
15,598,840
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France
Male
33
1
123,082.08
1
1
0
134,960.98
0
3,059
15,744,279
Patterson
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Spain
Female
58
8
0
2
1
1
65,708.5
0
3,060
15,670,619
Coppin
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France
Female
33
8
0
2
0
0
117,374.22
0
3,061
15,599,533
Tsao
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43
7
0
2
1
1
77,703.19
0
3,062
15,757,837
Kao
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Male
33
3
88,311.48
2
1
1
177,651.38
0
3,063
15,697,574
Stewart
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40
9
0
3
1
1
60,954.45
0
3,064
15,578,738
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7
71,872.19
1
1
1
151,924.9
0
3,065
15,762,228
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6
110,046.93
2
1
0
26,318.73
0
3,066
15,614,827
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8
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1
1
1
147,557.71
0
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15,789,815
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28
5
0
2
1
0
125,918.17
0
3,068
15,579,781
Buccho
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Germany
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31
10
138,653.51
1
1
0
190,803.37
0
3,069
15,587,013
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France
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31
7
102,575.04
1
1
1
11,043.54
0
3,070
15,570,932
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Male
43
7
137,780.74
2
1
1
119,100.05
1
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15,794,661
Liu
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32
2
0
2
1
0
140,579.17
0
3,072
15,581,654
Long
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32
7
0
2
0
1
37,731.95
0
3,073
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8
105,209.54
1
1
0
1,852.58
0
3,074
15,614,420
Gerasimova
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32
0
109,570.21
2
1
1
172,049.84
0
3,075
15,609,653
Ifeatu
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Germany
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44
6
118,715.86
1
1
0
133,591.11
1
3,076
15,594,577
De Luca
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France
Male
35
10
0
2
1
1
192,751.18
0
3,077
15,584,114
Ogbonnaya
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Germany
Female
43
2
153,393.18
2
1
1
193,828.27
0
3,078
15,673,367
Humffray
587
Germany
Male
33
6
132,603.36
1
1
0
55,775.72
0
3,079
15,685,576
Degtyaryov
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Spain
Female
36
6
0
2
1
1
102,280.29
0
3,080
15,774,727
Monaldo
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Germany
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34
1
129,398.01
2
0
0
44,965.44
0
3,081
15,694,288
Cawthorne
468
Spain
Male
28
3
0
2
1
0
170,661.02
0
3,082
15,603,319
Graham
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France
Male
29
2
151,352.74
1
0
0
197,145.89
0
3,083
15,759,066
Carpenter
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France
Female
44
5
136,836.49
1
1
0
192,359.9
1
3,084
15,814,816
Kambinachi
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France
Male
40
4
91,592.06
1
1
0
141,210.18
1
3,085
15,724,402
Tyler
770
France
Female
30
8
0
2
1
0
100,557.03
0
3,086
15,571,059
Martin
734
France
Female
54
3
0
1
1
0
130,805.54
1
3,087
15,674,206
Walker
716
France
Female
22
8
0
2
1
1
92,606.98
0
3,088
15,715,160
Khan
439
France
Male
36
2
165,536.28
2
1
1
123,956.83
0
3,089
15,730,448
Iroawuchi
538
Germany
Male
25
5
62,482.95
1
1
1
102,758.43
0
3,090
15,662,067
Summers
743
France
Male
40
8
68,155.59
1
1
0
94,876.65
0
3,091
15,779,581
Bottrill
734
Spain
Female
43
3
55,853.33
2
0
1
94,811.85
1
3,092
15,662,901
Hu
656
France
Male
37
2
0
2
0
1
67,840.81
0
3,093
15,689,751
Jones
666
France
Female
31
2
79,589.43
1
0
0
4,050.57
0
3,094
15,667,742
Vincent
627
Spain
Male
41
5
100,880.76
1
0
1
134,665.25
0
3,095
15,738,448
Sanford
480
Germany
Female
25
3
174,330.35
2
0
0
181,647.13
0
3,096
15,680,243
Brown
792
France
Male
19
7
143,390.51
1
1
0
33,282.84
0
3,097
15,745,083
Lei
613
Germany
Male
59
8
91,415.76
1
0
0
27,965
1
3,098
15,708,228
Toscani
476
Germany
Male
30
3
134,366.42
1
1
0
68,343.53
0
3,099
15,628,523
Chien
539
France
Female
24
3
0
2
1
1
198,161.07
0
3,100
15,708,196
Uchenna
696
Spain
Male
60
8
88,786.81
1
1
1
196,858.4
0