datasets/churn_prediction.csv

customer_tenure,monthly_charge,total_spend,churned
31,66,8543,1
48,76,9166,0
81,55,4124,0
36,49,444,1
82,47,9990,0
74,64,1717,1
42,69,2432,1
59,26,8834,1
63,2,4214,0
25,61,2510,1
40,20,8301,1
95,44,5788,0
25,91,737,1
73,21,2805,1
13,55,5670,0
90,30,6692,0
20,12,4803,0
43,98,4204,0
4,96,3253,0
73,73,6308,1
23,39,5140,1
99,42,8295,1
28,27,9663,0
63,3,9400,0
93,20,2487,0
35,97,1742,0
27,47,4095,1
11,90,7559,1
53,82,7742,0
68,9,2055,1
72,95,4012,0
36,56,3655,1
35,97,9454,1
54,42,6104,0
71,16,8797,0
92,39,7838,0
52,15,7802,1
77,28,2284,1
32,74,9616,0
26,8,9490,0
76,8,8992,0
48,74,4841,1
85,5,998,0
80,35,5080,1
81,67,458,0
5,15,6874,0
47,53,7267,0
39,83,4498,0
15,62,7376,1
41,87,9288,1
25,9,7225,1
68,1,1740,0
67,25,2131,1
71,78,5898,1
19,48,7290,1
68,55,3248,0
28,81,1428,1
67,6,3532,1
10,69,5673,0
60,41,7098,1
72,57,9842,1
60,50,3420,0
80,90,9649,0
98,49,3604,1
90,78,1488,1
66,81,7740,1
53,1,3777,1
53,52,3272,0
77,27,6384,1
28,72,7780,1
19,5,7273,0
49,46,8496,0
9,28,218,0
32,32,3718,1
37,36,6195,0
83,26,9569,0
97,15,5142,1
8,72,1396,1
53,40,7841,1
78,61,9672,0
82,53,4726,1
46,28,516,0
74,40,4775,0
7,51,9708,1
26,99,9038,0
12,87,645,0
92,11,9808,1
55,17,6166,1
58,48,7866,1
92,80,6125,0
89,85,5132,0
72,85,5300,1
66,27,9291,0
4,34,7599,1
15,33,6090,1
31,83,5393,0
23,94,6995,1
84,92,1717,0
4,38,2849,1
27,9,8338,0