Datasets:
moaminsharifi
/
Churn_Modelling

Dataset card Data Studio Files
xet
Community
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15.8M
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92
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200k
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1
9,901
15,645,896
Duncan
646
Germany
Male
39
6
121,681.91
2
0
1
61,793.47
0
9,902
15,802,909
Hu
706
Germany
Female
56
3
139,603.22
1
1
1
86,383.61
0
9,903
15,797,665
Docherty
730
France
Female
27
7
0
2
1
0
144,099.48
0
9,904
15,778,959
Brookes
606
France
Female
36
10
0
2
0
1
155,641.46
0
9,905
15,722,532
Angelo
690
Spain
Female
36
10
91,760.11
1
1
1
135,784.94
0
9,906
15,784,124
Emenike
645
Germany
Male
41
2
93,925.3
1
1
0
123,982.14
1
9,907
15,776,518
Pugh
579
France
Female
38
4
175,739.36
1
1
1
193,130.55
0
9,908
15,611,247
McKenzie
481
France
Female
28
10
0
2
1
0
145,215.96
0
9,909
15,721,469
Mach
492
Germany
Male
45
9
170,295.04
2
0
0
164,741.81
0
9,910
15,773,338
Endrizzi
739
France
Male
58
2
101,579.28
1
1
1
72,168.53
0
9,911
15,784,042
L?
624
France
Male
55
7
118,793.6
1
1
1
95,022.02
1
9,912
15,776,229
MacPherson
682
France
Male
44
3
115,282.3
1
0
0
23,766.4
0
9,913
15,655,903
Michael
701
Spain
Female
34
6
107,980.37
1
1
1
119,374.74
0
9,914
15,590,177
Chiedozie
718
France
Female
44
1
133,866.22
1
0
1
139,049.24
0
9,915
15,568,876
Hughes
496
France
Female
34
1
102,723.35
2
1
0
180,844.81
0
9,916
15,813,140
Taylor
543
Spain
Male
41
5
0
2
0
1
143,980.29
0
9,917
15,770,516
Evdokimov
616
Spain
Female
44
7
193,213.02
2
1
1
137,392.77
0
9,918
15,755,731
Davis
635
Germany
Male
53
8
117,005.55
1
0
1
123,646.57
1
9,919
15,574,480
Ubanwa
652
Spain
Male
31
1
132,862.59
1
0
0
158,054.49
0
9,920
15,798,084
Murray
688
France
Male
26
0
0
2
1
0
105,784.85
0
9,921
15,673,020
Smith
678
France
Female
49
3
204,510.94
1
0
1
738.88
1
9,922
15,643,575
Evseev
757
Germany
Male
36
1
65,349.71
1
0
0
64,539.64
0
9,923
15,596,811
Mitchell
667
France
Male
36
8
139,753.35
1
1
0
79,871.16
0
9,924
15,786,789
Ni
725
France
Female
29
6
0
2
1
1
190,776.83
0
9,925
15,578,865
Palerma
632
Germany
Female
50
5
107,959.39
1
1
1
6,985.34
1
9,926
15,605,672
Yuan
694
France
Female
38
5
195,926.39
1
1
1
85,522.84
0
9,927
15,603,674
Knight
803
France
Male
36
1
0
2
1
1
149,370.93
0
9,928
15,759,915
Rapuokwu
814
France
Female
31
6
87,772.52
1
1
0
188,516.45
0
9,929
15,686,219
Wan
611
France
Male
38
4
71,018.6
2
1
0
2,444.29
0
9,930
15,696,388
Artamonova
755
Germany
Male
38
4
111,096.91
1
1
1
19,762.88
0
9,931
15,713,604
Rossi
425
Germany
Male
40
9
166,776.6
2
0
1
172,646.88
0
9,932
15,647,800
Greco
850
France
Female
34
6
101,266.51
1
1
0
33,501.98
0
9,933
15,813,451
Fleetwood-Smith
677
Spain
Male
18
8
134,796.87
2
1
1
114,858.9
0
9,934
15,765,375
Butusov
797
France
Female
46
8
0
1
0
0
162,668.33
0
9,935
15,774,586
West
692
Germany
Female
43
10
118,588.83
1
1
1
161,241.65
1
9,936
15,603,454
Sanders
735
Germany
Male
28
5
160,454.15
2
0
1
114,957.22
0
9,937
15,653,037
Parks
609
France
Male
77
1
0
1
0
1
18,708.76
0
9,938
15,782,475
Edith
700
France
Female
42
8
0
2
1
1
105,305.72
0
9,939
15,593,496
Korovin
526
Spain
Female
36
5
91,132.18
1
0
0
58,111.71
0
9,940
15,808,971
Lajoie
693
Spain
Female
57
9
0
2
1
1
135,502.77
0
9,941
15,791,972
Bergamaschi
748
France
Female
20
7
0
2
0
0
10,792.42
0
9,942
15,676,869
T'ien
657
Spain
Male
36
8
0
2
0
1
123,866.43
0
9,943
15,683,007
Torode
739
Germany
Female
25
5
113,113.12
1
1
0
129,181.27
0
9,944
15,659,495
Fu
784
Spain
Male
23
2
0
1
1
1
6,847.73
0
9,945
15,703,923
Cameron
744
Germany
Male
41
7
190,409.34
2
1
1
138,361.48
0
9,946
15,674,000
Cattaneo
645
France
Male
44
10
0
2
0
1
166,707.22
0
9,947
15,618,171
James
669
France
Female
33
9
0
2
0
1
107,221.03
0
9,948
15,732,202
Abramovich
615
France
Male
34
1
83,503.11
2
1
1
73,124.53
1
9,949
15,735,078
Onwughara
724
Germany
Female
53
1
139,687.66
2
1
1
12,913.92
0
9,950
15,798,615
Wan
850
France
Female
47
9
137,301.87
1
1
0
44,351.77
0
9,951
15,638,494
Salinas
625
Germany
Female
39
10
129,845.26
1
1
1
96,444.88
0
9,952
15,763,874
Ho
635
Spain
Male
46
8
0
2
1
1
60,739.16
0
9,953
15,696,355
Cleveland
724
Germany
Male
37
6
125,489.4
1
1
0
118,570.53
0
9,954
15,655,952
Burke
550
France
Male
47
2
0
2
1
1
97,057.28
0
9,955
15,739,850
Trentino
645
France
Male
45
6
155,417.61
1
0
1
3,449.22
0
9,956
15,611,338
Kashiwagi
714
Spain
Male
29
4
0
2
1
1
37,605.9
0
9,957
15,707,861
Nucci
520
France
Female
46
10
85,216.61
1
1
0
117,369.52
1
9,958
15,672,237
Oluchi
633
France
Male
25
1
0
1
1
0
100,598.98
0
9,959
15,657,771
Ts'ui
537
France
Male
37
6
0
1
1
1
17,802.42
0
9,960
15,677,783
Graham
764
Spain
Male
38
4
113,607.47
1
1
0
91,094.46
0
9,961
15,681,026
Lucciano
795
Germany
Female
33
9
104,552.72
1
1
1
120,853.83
1
9,962
15,566,543
Aldridge
573
Spain
Male
44
9
0
2
1
0
107,124.17
0
9,963
15,594,612
Flynn
702
Spain
Male
44
9
0
1
0
0
59,207.41
1
9,964
15,814,664
Scott
740
Germany
Male
33
2
126,524.11
1
1
0
136,869.31
0
9,965
15,642,785
Douglas
479
France
Male
34
5
117,593.48
2
0
0
113,308.29
0
9,966
15,690,164
Shao
627
Germany
Female
33
4
83,199.05
1
0
0
159,334.93
0
9,967
15,590,213
Ch'en
479
Spain
Male
35
4
125,920.98
1
1
1
20,393.44
0
9,968
15,603,794
Pugliesi
623
France
Male
48
5
118,469.38
1
1
1
158,590.25
0
9,969
15,733,491
McGregor
512
Germany
Female
40
8
153,537.57
2
0
0
23,101.13
0
9,970
15,806,360
Hou
609
France
Male
41
6
0
1
0
1
112,585.19
0
9,971
15,587,133
Thompson
518
France
Male
42
7
151,027.05
2
1
0
119,377.36
0
9,972
15,721,377
Chou
833
France
Female
34
3
144,751.81
1
0
0
166,472.81
0
9,973
15,747,927
Ch'in
758
France
Male
26
4
155,739.76
1
1
0
171,552.02
0
9,974
15,806,455
Miller
611
France
Male
27
7
0
2
1
1
157,474.1
0
9,975
15,695,474
Barker
583
France
Male
33
7
122,531.86
1
1
0
13,549.24
0
9,976
15,666,295
Smith
610
Germany
Male
50
1
113,957.01
2
1
0
196,526.55
1
9,977
15,656,062
Azikiwe
637
France
Female
33
7
103,377.81
1
1
0
84,419.78
0
9,978
15,579,969
Mancini
683
France
Female
32
9
0
2
1
1
24,991.92
0
9,979
15,703,563
P'eng
774
France
Male
40
9
93,017.47
2
1
0
191,608.97
0
9,980
15,692,664
Diribe
677
France
Female
58
1
90,022.85
1
0
1
2,988.28
0
9,981
15,719,276
T'ao
741
Spain
Male
35
6
74,371.49
1
0
0
99,595.67
0
9,982
15,672,754
Burbidge
498
Germany
Male
42
3
152,039.7
1
1
1
53,445.17
1
9,983
15,768,163
Griffin
655
Germany
Female
46
7
137,145.12
1
1
0
115,146.4
1
9,984
15,656,710
Cocci
613
France
Male
40
4
0
1
0
0
151,325.24
0
9,985
15,696,175
Echezonachukwu
602
Germany
Male
35
7
90,602.42
2
1
1
51,695.41
0
9,986
15,586,914
Nepean
659
France
Male
36
6
123,841.49
2
1
0
96,833
0
9,987
15,581,736
Bartlett
673
Germany
Male
47
1
183,579.54
2
0
1
34,047.54
0
9,988
15,588,839
Mancini
606
Spain
Male
30
8
180,307.73
2
1
1
1,914.41
0
9,989
15,589,329
Pirozzi
775
France
Male
30
4
0
2
1
0
49,337.84
0
9,990
15,605,622
McMillan
841
Spain
Male
28
4
0
2
1
1
179,436.6
0
9,991
15,798,964
Nkemakonam
714
Germany
Male
33
3
35,016.6
1
1
0
53,667.08
0
9,992
15,769,959
Ajuluchukwu
597
France
Female
53
4
88,381.21
1
1
0
69,384.71
1
9,993
15,657,105
Chukwualuka
726
Spain
Male
36
2
0
1
1
0
195,192.4
0
9,994
15,569,266
Rahman
644
France
Male
28
7
155,060.41
1
1
0
29,179.52
0
9,995
15,719,294
Wood
800
France
Female
29
2
0
2
0
0
167,773.55
0
9,996
15,606,229
Obijiaku
771
France
Male
39
5
0
2
1
0
96,270.64
0
9,997
15,569,892
Johnstone
516
France
Male
35
10
57,369.61
1
1
1
101,699.77
0
9,998
15,584,532
Liu
709
France
Female
36
7
0
1
0
1
42,085.58
1
9,999
15,682,355
Sabbatini
772
Germany
Male
42
3
75,075.31
2
1
0
92,888.52
1
10,000
15,628,319
Walker
792
France
Female
28
4
130,142.79
1
1
0
38,190.78
0