Datasets:
An24
/
Churn_Modelling

Dataset card Data Studio Files
xet
 Community
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4,101
15,693,322
Shaver
635
Germany
Female
37
9
146,748.07
1
0
1
11,407.58
0
4,102
15,589,544
Wallis
673
Spain
Female
57
4
0
2
1
1
49,684.09
0
4,103
15,772,030
Coupp
662
Spain
Male
33
3
0
2
0
1
68,064.83
0
4,104
15,693,337
Perry
683
Spain
Male
41
0
148,863.17
1
1
1
163,911.32
0
4,105
15,676,571
Bezrukova
850
France
Male
55
6
0
1
1
0
944.41
1
4,106
15,701,392
Lucciano
815
Spain
Male
28
6
0
2
0
1
185,547.71
0
4,107
15,741,092
Ingram
671
Spain
Male
34
10
153,360.02
1
1
0
140,509.86
0
4,108
15,643,865
Lo Duca
601
France
Female
40
3
92,055.36
1
0
1
164,652.02
1
4,109
15,769,389
Wan
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Germany
Female
39
9
124,723.92
1
1
0
73,641.86
0
4,110
15,807,768
Cohn
702
Germany
Male
28
1
103,033.83
1
1
1
40,321.87
0
4,111
15,801,630
Yen
558
France
Male
40
6
0
2
1
0
173,844.89
0
4,112
15,705,034
Peng
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Spain
Male
40
1
0
2
1
1
145,613.17
0
4,113
15,763,107
Little
700
France
Female
30
9
0
1
1
1
174,971.64
0
4,114
15,667,085
Meng
667
France
Male
33
4
0
2
1
1
131,834.75
0
4,115
15,647,008
Adams
624
Germany
Male
54
3
116,726.22
1
1
0
110,498.1
1
4,116
15,584,505
Hill
580
France
Female
23
5
113,923.81
2
0
0
196,241.43
0
4,117
15,748,068
Boyle
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Spain
Female
31
3
0
2
1
1
194,667.92
0
4,118
15,663,964
Pagnotto
561
France
Male
37
5
0
2
1
0
83,093.25
0
4,119
15,782,311
Feng
529
France
Male
28
9
0
2
1
1
52,545.24
0
4,120
15,588,197
Endrizzi
670
France
Male
36
7
0
2
0
0
59,571.5
0
4,121
15,610,105
Shen
666
Germany
Female
21
1
121,827.43
2
1
1
99,818.31
0
4,122
15,606,133
Lay
628
Spain
Male
42
7
0
2
0
1
172,967.87
0
4,123
15,599,403
Wu
577
France
Male
60
10
125,389.7
2
1
1
178,616.73
0
4,124
15,648,225
Shephard
652
Spain
Female
38
1
103,895.31
1
0
1
159,649.44
0
4,125
15,608,406
Schmidt
678
France
Male
26
5
111,128.04
1
1
0
60,941.27
1
4,126
15,633,378
Davidson
692
Spain
Female
49
9
0
2
1
0
178,342.63
0
4,127
15,664,759
Lamb
675
Spain
Male
32
10
0
2
1
0
191,545.65
0
4,128
15,625,545
Hussey
712
Spain
Male
52
9
0
1
1
1
117,977.45
1
4,129
15,772,148
Ferrari
639
Germany
Female
37
5
151,242.48
1
0
1
49,637.65
0
4,130
15,810,829
Macfarlan
618
France
Male
48
7
0
1
1
0
13,921.82
1
4,131
15,731,669
Szabados
554
France
Male
39
2
129,709.62
1
1
0
173,197.12
0
4,132
15,738,634
Yuan
533
France
Male
47
9
83,347.25
1
1
1
137,696.25
0
4,133
15,737,571
Matveyev
540
Spain
Female
28
6
84,121.04
1
0
1
80,698.54
0
4,134
15,667,602
Cheng
704
Spain
Male
33
3
0
2
1
0
73,018.74
0
4,135
15,684,147
Palerma
678
France
Male
43
5
102,338.19
1
1
1
79,649.62
0
4,136
15,789,874
Wang
712
France
Female
29
3
87,375.78
2
0
0
166,194.53
0
4,137
15,757,952
Teng
651
France
Male
44
2
0
3
1
0
102,530.35
1
4,138
15,698,732
K'ung
789
Germany
Male
51
3
104,677.09
1
1
0
74,265.38
0
4,139
15,714,355
Sinclair
775
Germany
Male
32
8
121,669.23
1
0
1
125,898.39
0
4,140
15,599,090
McKelvey
564
Germany
Male
40
7
108,407.34
1
1
1
83,681.2
0
4,141
15,762,048
Yuan
841
Germany
Female
33
7
154,969.79
2
1
1
99,505.75
0
4,142
15,790,596
Moran
850
Spain
Male
39
0
141,829.67
1
1
1
92,748.16
0
4,143
15,609,623
McConnell
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France
Female
63
5
0
1
1
0
28,092.77
1
4,144
15,711,901
Iheatu
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France
Male
45
2
109,162.82
1
1
1
126,145.08
0
4,145
15,779,809
Giordano
655
France
Male
44
8
87,471.63
1
0
1
188,593.98
0
4,146
15,729,018
Alexander
666
France
Female
33
2
147,229.65
1
1
1
56,410.17
0
4,147
15,698,246
Gordon
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France
Female
24
2
0
2
1
1
84,694.49
0
4,148
15,712,409
Tang
749
Germany
Male
66
6
182,532.23
2
1
1
195,429.92
0
4,149
15,758,306
T'an
654
France
Male
32
6
0
2
1
1
137,898.57
0
4,150
15,621,435
Davies
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France
Female
39
1
160,903.2
1
0
0
78,774.36
0
4,151
15,566,295
Sanders
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France
Female
33
6
138,053.79
2
1
0
148,779.41
0
4,152
15,569,098
Winifred
627
France
Male
44
6
153,548.12
1
0
0
35,300.08
1
4,153
15,662,532
Holmes
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Germany
Male
31
8
149,085.9
2
1
1
197,077.36
0
4,154
15,664,001
Riddle
695
Germany
Female
53
8
95,231.91
1
0
0
70,140.8
1
4,155
15,703,437
Chinedum
726
France
Male
34
3
0
2
1
0
196,288.46
0
4,156
15,708,003
Aleksandrova
587
Spain
Male
41
8
85,109.21
1
1
0
1,557.82
0
4,157
15,599,452
Conti
605
Germany
Female
43
8
125,338.8
2
1
0
23,970.13
0
4,158
15,719,793
Watson
850
Spain
Male
62
5
0
2
1
1
180,243.56
0
4,159
15,771,580
Davison
850
France
Female
38
0
106,831.69
1
0
1
148,977.72
0
4,160
15,732,268
Cook
751
France
Male
29
3
159,597.45
1
1
0
39,934.41
0
4,161
15,722,350
Udinesi
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Germany
Female
37
7
147,361.57
1
1
1
133,031.96
0
4,162
15,611,371
Siciliani
736
France
Male
43
4
176,134.54
1
1
1
52,856.88
0
4,163
15,673,584
Bell
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France
Female
74
5
0
2
1
1
937.15
0
4,164
15,636,396
Jackson
627
France
Female
35
7
0
2
0
1
193,022.44
0
4,165
15,706,170
Onyemere
636
France
Male
34
1
84,055.43
1
0
0
37,490.84
0
4,166
15,725,478
McClemans
775
France
Male
60
7
0
2
1
1
111,558.7
0
4,167
15,654,562
Ma
850
Spain
Female
45
5
174,088.3
4
1
0
5,669.31
1
4,168
15,737,509
Morrison
850
Spain
Male
34
8
199,229.14
1
0
0
68,106.29
0
4,169
15,690,796
Chambers
516
France
Male
37
8
0
1
1
0
101,834.58
0
4,170
15,716,728
Basedow
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Spain
Female
42
10
0
2
0
1
73,151.25
0
4,171
15,605,665
Nwora
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Germany
Female
69
3
78,833.15
2
1
1
37,196.15
0
4,172
15,748,481
Howey
564
France
Female
27
6
0
1
0
0
7,819.76
0
4,173
15,757,777
Pai
636
France
Female
35
2
0
2
1
1
23,129.46
0
4,174
15,747,808
Ni
712
France
Male
29
3
102,540.61
1
1
1
189,680.79
0
4,175
15,810,593
Forbes
568
France
Male
51
4
0
3
1
1
66,586.56
0
4,176
15,693,376
Baryshnikov
741
Spain
Male
43
0
0
2
1
1
2,920.63
1
4,177
15,579,808
Kramer
754
Germany
Female
39
8
129,401.87
1
1
1
87,684.93
0
4,178
15,598,275
Sochima
709
France
Female
32
7
0
2
1
1
199,418.02
0
4,179
15,737,080
Marchesi
510
France
Female
32
1
0
2
0
1
28,515.17
0
4,180
15,668,580
Todd
716
Spain
Male
33
2
0
2
1
1
92,916.53
0
4,181
15,569,438
Mai
607
Germany
Male
36
10
106,702.94
2
0
0
198,313.69
0
4,182
15,675,842
Pinto
656
Spain
Male
26
4
139,584.57
1
1
0
36,308.93
0
4,183
15,577,587
Reynolds
550
Germany
Male
52
5
121,016.23
1
1
1
41,730.37
1
4,184
15,625,592
Sal
486
France
Male
26
2
0
2
1
1
31,399.4
0
4,185
15,635,141
Miller
598
Germany
Male
59
8
118,210.42
2
0
0
60,192.14
1
4,186
15,642,570
Scott
675
Spain
Male
35
8
0
2
1
0
29,062.25
0
4,187
15,702,175
Herrin
755
France
Female
29
4
148,654.84
2
1
1
28,805.09
0
4,188
15,677,785
Stevenson
656
Spain
Male
32
5
136,963.12
1
1
0
133,814.28
0
4,189
15,786,153
McKenzie
644
Germany
Male
47
9
137,774.11
2
1
0
151,902.78
0
4,190
15,759,499
Gardiner
598
France
Female
32
4
111,156.52
1
1
1
167,376.26
0
4,191
15,659,568
Atkinson
850
Spain
Female
31
3
121,237.65
1
1
1
31,022.56
0
4,192
15,715,597
Onyemauchechi
679
France
Male
36
1
97,234.58
1
1
0
188,997.08
0
4,193
15,610,147
Ross
632
France
Male
60
2
0
2
0
1
2,085.32
0
4,194
15,802,362
Newland
550
Spain
Male
45
0
0
2
0
1
70,399.71
0
4,195
15,660,524
Hu
572
Germany
Female
54
9
97,382.53
1
1
1
195,771.95
0
4,196
15,747,168
Sanders
626
Germany
Female
47
2
103,108.8
1
0
1
166,475.44
1
4,197
15,796,910
Tsui
625
Spain
Female
57
7
0
1
0
0
84,106.17
1
4,198
15,707,674
Marino
515
France
Female
58
2
131,852.81
1
1
0
81,436.68
1
4,199
15,565,706
Akobundu
612
Spain
Male
35
1
0
1
1
1
83,256.26
1
4,200
15,587,596
Morrison
628
Spain
Female
39
8
107,553.33
1
1
0
117,523.41
0