logistic regression – How to use confusionMatrix in R


logit_cm <- confusionMatrix(data=logitresp, reference=actual)

logit <- glm(Outcome ~ ., family = binomial (link = logit),
                             data = training_data)

Returns:
Error: data and reference should be factors with the same levels.

They are of the same number of lines and same data type, I don’t know why caret wont work with them.

For:

> str(logitresp)
num [1:384] 0.1128 0.0964 0.3948 0.4793 0.4889 ...

> str(actual)
num [1:384] 0 0 1 1 1 0 0 1 0 0 ...
dput(training_data)
structure(list(Pregnancies = c(6, 1, 8, 1, 0, 5, 3, 10, 2, 8, 
4, 10, 10, 1, 5, 7, 0, 7, 1, 1, 3, 8, 7, 9, 11, 10, 7, 1, 13, 
5, 5, 3, 3, 6, 10, 4, 11, 9, 2, 4, 3, 7, 7, 9, 7, 0, 1, 2, 7, 
7, 1, 1, 5, 8, 7, 1, 7, 0, 0, 0, 2, 8, 5, 2, 7, 5, 0, 2, 1, 4, 
2, 5, 13, 4, 1, 1, 7, 5, 0, 2, 3, 2, 7, 0, 5, 2, 13, 2, 15, 1, 
1, 4, 7, 4, 2, 6, 2, 1, 6, 1, 1, 1, 0, 1, 2, 1, 1, 4, 3, 0, 3, 
8, 1, 4, 7, 4, 5, 5, 4, 4, 0, 6, 2, 5, 0, 1, 3, 1, 1, 0, 4, 9, 
3, 8, 2, 2, 0, 0, 0, 5, 3, 5, 2, 10, 4, 0, 9, 2, 5, 2, 1, 4, 
9, 1, 8, 7, 2, 1, 2, 17, 4, 7, 0, 2, 0, 6, 3, 4, 4, 3, 6, 6, 
2, 1, 2, 8, 6, 0, 5, 5, 6, 0, 1, 5, 4, 7, 8, 1, 8, 5, 3, 9, 7, 
11, 8, 5, 1, 3, 4, 4, 0, 1, 0, 2, 6, 5, 8, 5, 1, 7, 2, 0, 7, 
0, 9, 12, 5, 6, 5, 5, 0, 2, 7, 7, 1, 1, 0, 3, 4, 0, 4, 6, 1, 
4, 3, 4, 7, 0, 9, 0, 1, 4, 3, 6, 2, 9, 10, 0, 9, 1, 9, 2, 2, 
0, 12, 1, 3, 2, 1, 11, 3, 3, 4, 3, 4, 5, 0, 2, 0, 2, 10, 2, 3, 
1, 13, 2, 7, 0, 5, 2, 0, 10, 7, 7, 2, 7, 5, 1, 4, 5, 0, 0, 2, 
1, 0, 6, 2, 0, 14, 8, 0, 2, 5, 5, 3, 2, 10, 0, 0, 2, 6, 0, 2, 
3, 7, 2, 3, 3, 3, 6, 4, 3, 0, 13, 2, 1, 1, 10, 2, 6, 8, 2, 1, 
12, 1, 0, 0, 5, 9, 7, 1, 1, 1, 5, 8, 8, 1, 3, 3, 5, 4, 4, 3, 
1, 3, 9, 1, 13, 12, 1, 5, 5, 5, 4, 4, 5, 6, 0, 3, 1, 3, 0, 0, 
2, 2, 12, 0, 1, 4, 0, 1, 0, 1, 1), Glucose = c(148, 85, 183, 
89, 137, 116, 78, 115, 197, 125, 110, 168, 139, 189, 166, 100, 
118, 107, 103, 115, 126, 99, 196, 119, 143, 125, 147, 97, 145, 
117, 109, 158, 88, 92, 122, 103, 138, 102, 90, 111, 180, 133, 
106, 171, 159, 180, 146, 71, 103, 105, 103, 101, 88, 176, 150, 
73, 187, 100, 146, 105, 84, 133, 44, 141, 114, 99, 109, 109, 
95, 146, 100, 139, 126, 129, 79, 0, 62, 95, 131, 112, 113, 74, 
83, 101, 137, 110, 106, 100, 136, 107, 80, 123, 81, 134, 142, 
144, 92, 71, 93, 122, 163, 151, 125, 81, 85, 126, 96, 144, 83, 
95, 171, 155, 89, 76, 160, 146, 124, 78, 97, 99, 162, 111, 107, 
132, 113, 88, 120, 118, 117, 105, 173, 122, 170, 84, 96, 125, 
100, 93, 129, 105, 128, 106, 108, 108, 154, 102, 57, 106, 147, 
90, 136, 114, 156, 153, 188, 152, 99, 109, 88, 163, 151, 102, 
114, 100, 131, 104, 148, 120, 110, 111, 102, 134, 87, 79, 75, 
179, 85, 129, 143, 130, 87, 119, 0, 73, 141, 194, 181, 128, 109, 
139, 111, 123, 159, 135, 85, 158, 105, 107, 109, 148, 113, 138, 
108, 99, 103, 111, 196, 162, 96, 184, 81, 147, 179, 140, 112, 
151, 109, 125, 85, 112, 177, 158, 119, 142, 100, 87, 101, 162, 
197, 117, 142, 134, 79, 122, 74, 171, 181, 179, 164, 104, 91, 
91, 139, 119, 146, 184, 122, 165, 124, 111, 106, 129, 90, 86, 
92, 113, 111, 114, 193, 155, 191, 141, 95, 142, 123, 96, 138, 
128, 102, 146, 101, 108, 122, 71, 106, 100, 106, 104, 114, 108, 
146, 129, 133, 161, 108, 136, 155, 119, 96, 108, 78, 107, 128, 
128, 161, 151, 146, 126, 100, 112, 167, 144, 77, 115, 150, 120, 
161, 137, 128, 124, 80, 106, 155, 113, 109, 112, 99, 182, 115, 
194, 129, 112, 124, 152, 112, 157, 122, 179, 102, 105, 118, 87, 
180, 106, 95, 165, 117, 115, 152, 178, 130, 95, 0, 122, 95, 126, 
139, 116, 99, 0, 92, 137, 61, 90, 90, 165, 125, 129, 88, 196, 
189, 158, 103, 146, 147, 99, 124, 101, 81, 133, 173, 118, 84, 
105, 122, 140, 98, 87, 156, 93, 107, 105, 109, 90), BloodPressure = c(72, 
66, 64, 66, 40, 74, 50, 0, 70, 96, 92, 74, 80, 60, 72, 0, 84, 
74, 30, 70, 88, 84, 90, 80, 94, 70, 76, 66, 82, 92, 75, 76, 58, 
92, 78, 60, 76, 76, 68, 72, 64, 84, 92, 110, 64, 66, 56, 70, 
66, 0, 80, 50, 66, 90, 66, 50, 68, 88, 82, 64, 0, 72, 62, 58, 
66, 74, 88, 92, 66, 85, 66, 64, 90, 86, 75, 48, 78, 72, 0, 66, 
44, 0, 78, 65, 108, 74, 72, 68, 70, 68, 55, 80, 78, 72, 82, 72, 
62, 48, 50, 90, 72, 60, 96, 72, 65, 56, 122, 58, 58, 85, 72, 
62, 76, 62, 54, 92, 74, 48, 60, 76, 76, 64, 74, 80, 76, 30, 70, 
58, 88, 84, 70, 56, 64, 74, 68, 60, 70, 60, 80, 72, 78, 82, 52, 
66, 62, 75, 80, 64, 78, 70, 74, 65, 86, 82, 78, 88, 52, 56, 74, 
72, 90, 74, 80, 64, 88, 74, 66, 68, 66, 90, 82, 70, 0, 60, 64, 
72, 78, 110, 78, 82, 80, 64, 74, 60, 74, 68, 68, 98, 76, 80, 
62, 70, 66, 0, 55, 84, 58, 62, 64, 60, 80, 82, 68, 70, 72, 72, 
76, 104, 64, 84, 60, 85, 95, 65, 82, 70, 62, 68, 74, 66, 60, 
90, 0, 60, 66, 78, 76, 52, 70, 80, 86, 80, 80, 68, 68, 72, 84, 
90, 84, 76, 64, 70, 54, 50, 76, 85, 68, 90, 70, 86, 52, 84, 80, 
68, 62, 64, 56, 68, 50, 76, 68, 0, 70, 80, 62, 74, 0, 64, 52, 
0, 86, 62, 78, 78, 70, 70, 60, 64, 74, 62, 70, 76, 88, 86, 80, 
74, 84, 86, 56, 72, 88, 62, 78, 48, 50, 62, 70, 84, 78, 72, 0, 
58, 82, 98, 76, 76, 68, 68, 68, 68, 66, 70, 74, 50, 80, 68, 80, 
74, 66, 78, 60, 74, 70, 90, 75, 72, 64, 70, 86, 70, 72, 58, 0, 
80, 60, 76, 0, 76, 78, 84, 70, 74, 68, 86, 72, 88, 46, 0, 62, 
80, 80, 84, 82, 62, 78, 88, 50, 0, 74, 76, 64, 70, 108, 78, 74, 
54, 72, 64, 86, 102, 82, 64, 64, 58, 52, 82, 82, 60, 75, 100, 
72, 68, 60, 62), SkinThickness = c(35, 29, 0, 23, 35, 0, 32, 
0, 45, 0, 0, 0, 0, 23, 19, 0, 47, 0, 38, 30, 41, 0, 0, 35, 33, 
26, 0, 15, 19, 0, 26, 36, 11, 0, 31, 33, 0, 37, 42, 47, 25, 0, 
18, 24, 0, 39, 0, 27, 32, 0, 11, 15, 21, 34, 42, 10, 39, 60, 
0, 41, 0, 0, 0, 34, 0, 27, 30, 0, 13, 27, 20, 35, 0, 20, 30, 
20, 0, 33, 0, 22, 13, 0, 26, 28, 0, 29, 54, 25, 32, 19, 0, 15, 
40, 0, 18, 27, 28, 18, 30, 51, 0, 0, 0, 18, 0, 29, 0, 28, 31, 
25, 33, 26, 34, 0, 32, 0, 0, 0, 23, 15, 56, 39, 30, 0, 0, 42, 
30, 36, 24, 0, 14, 0, 37, 31, 13, 20, 26, 25, 0, 29, 0, 30, 26, 
0, 31, 23, 37, 35, 0, 17, 50, 0, 28, 42, 0, 44, 15, 21, 19, 41, 
38, 40, 34, 23, 0, 18, 25, 0, 0, 12, 0, 23, 23, 42, 24, 42, 0, 
46, 0, 0, 0, 18, 20, 0, 0, 28, 36, 41, 39, 35, 0, 44, 0, 0, 20, 
41, 0, 13, 44, 27, 16, 0, 20, 16, 32, 28, 29, 0, 27, 33, 22, 
54, 31, 26, 32, 40, 41, 30, 22, 0, 29, 0, 0, 33, 15, 27, 0, 38, 
39, 31, 0, 37, 25, 0, 28, 0, 21, 27, 21, 0, 24, 32, 0, 22, 35, 
15, 0, 33, 33, 19, 0, 0, 14, 32, 7, 35, 39, 22, 16, 28, 15, 0, 
32, 15, 0, 18, 0, 42, 0, 0, 37, 32, 0, 50, 0, 52, 24, 23, 0, 
10, 0, 28, 15, 0, 0, 26, 44, 39, 17, 43, 29, 30, 37, 45, 0, 31, 
38, 29, 25, 0, 0, 33, 41, 0, 0, 37, 23, 14, 19, 28, 30, 37, 17, 
10, 31, 22, 11, 0, 39, 0, 12, 30, 20, 33, 32, 21, 32, 0, 36, 
32, 19, 16, 0, 0, 18, 43, 0, 0, 34, 0, 13, 21, 35, 0, 0, 36, 
19, 0, 19, 32, 0, 0, 28, 12, 0, 0, 40, 30, 40, 36, 33, 0, 37, 
0, 25, 28, 0, 17, 16, 28, 48, 23, 22, 40, 43, 43, 15, 37, 0, 
39, 30, 22, 8, 18), Insulin = c(0, 0, 0, 94, 168, 0, 88, 0, 543, 
0, 0, 0, 0, 846, 175, 0, 230, 0, 83, 96, 235, 0, 0, 0, 146, 115, 
0, 140, 110, 0, 0, 245, 54, 0, 0, 192, 0, 0, 0, 207, 70, 0, 0, 
240, 0, 0, 0, 0, 0, 0, 82, 36, 23, 300, 342, 0, 304, 110, 0, 
142, 0, 0, 0, 128, 0, 0, 0, 0, 38, 100, 90, 140, 0, 270, 0, 0, 
0, 0, 0, 0, 0, 0, 71, 0, 0, 125, 0, 71, 110, 0, 0, 176, 48, 0, 
64, 228, 0, 76, 64, 220, 0, 0, 0, 40, 0, 152, 0, 140, 18, 36, 
135, 495, 37, 0, 175, 0, 0, 0, 0, 51, 100, 0, 100, 0, 0, 99, 
135, 94, 145, 0, 168, 0, 225, 0, 49, 140, 50, 92, 0, 325, 0, 
0, 63, 0, 284, 0, 0, 119, 0, 0, 204, 0, 155, 485, 0, 0, 94, 135, 
53, 114, 0, 105, 285, 0, 0, 156, 0, 0, 0, 78, 0, 130, 0, 48, 
55, 130, 0, 130, 0, 0, 0, 92, 23, 0, 0, 0, 495, 58, 114, 160, 
0, 94, 0, 0, 0, 210, 0, 48, 99, 318, 0, 0, 0, 44, 190, 0, 280, 
0, 87, 0, 0, 0, 0, 130, 175, 271, 129, 120, 0, 0, 478, 0, 0, 
190, 56, 32, 0, 0, 744, 53, 0, 370, 37, 0, 45, 0, 192, 0, 0, 
0, 0, 88, 0, 176, 194, 0, 0, 680, 402, 0, 0, 0, 55, 0, 258, 0, 
0, 0, 375, 150, 130, 0, 0, 0, 0, 67, 0, 0, 0, 0, 0, 56, 0, 45, 
0, 57, 0, 116, 0, 278, 0, 122, 155, 0, 0, 135, 545, 220, 49, 
75, 40, 74, 182, 194, 0, 120, 360, 215, 184, 0, 0, 135, 42, 0, 
0, 105, 132, 148, 180, 205, 0, 148, 96, 85, 0, 94, 64, 0, 140, 
0, 231, 0, 0, 29, 0, 168, 156, 0, 120, 68, 0, 52, 0, 0, 58, 255, 
0, 0, 171, 0, 105, 73, 0, 0, 0, 108, 83, 0, 74, 0, 0, 0, 0, 43, 
0, 0, 167, 0, 54, 249, 325, 0, 0, 0, 293, 83, 0, 0, 66, 140, 
465, 89, 66, 94, 158, 325, 84, 75, 0, 72, 82, 0, 182, 59), BMI = c(33.6, 
26.6, 23.3, 28.1, 43.1, 25.6, 31, 35.3, 30.5, 0, 37.6, 38, 27.1, 
30.1, 25.8, 30, 45.8, 29.6, 43.3, 34.6, 39.3, 35.4, 39.8, 29, 
36.6, 31.1, 39.4, 23.2, 22.2, 34.1, 36, 31.6, 24.8, 19.9, 27.6, 
24, 33.2, 32.9, 38.2, 37.1, 34, 40.2, 22.7, 45.4, 27.4, 42, 29.7, 
28, 39.1, 0, 19.4, 24.2, 24.4, 33.7, 34.7, 23, 37.7, 46.8, 40.5, 
41.5, 0, 32.9, 25, 25.4, 32.8, 29, 32.5, 42.7, 19.6, 28.9, 32.9, 
28.6, 43.4, 35.1, 32, 24.7, 32.6, 37.7, 43.2, 25, 22.4, 0, 29.3, 
24.6, 48.8, 32.4, 36.6, 38.5, 37.1, 26.5, 19.1, 32, 46.7, 23.8, 
24.7, 33.9, 31.6, 20.4, 28.7, 49.7, 39, 26.1, 22.5, 26.6, 39.6, 
28.7, 22.4, 29.5, 34.3, 37.4, 33.3, 34, 31.2, 34, 30.5, 31.2, 
34, 33.7, 28.2, 23.2, 53.2, 34.2, 33.6, 26.8, 33.3, 55, 42.9, 
33.3, 34.5, 27.9, 29.7, 33.3, 34.5, 38.3, 21.1, 33.8, 30.8, 28.7, 
31.2, 36.9, 21.1, 39.5, 32.5, 32.4, 32.8, 0, 32.8, 30.5, 33.7, 
27.3, 37.4, 21.9, 34.3, 40.6, 47.9, 50, 24.6, 25.2, 29, 40.9, 
29.7, 37.2, 44.2, 29.7, 31.6, 29.9, 32.5, 29.6, 31.9, 28.4, 30.8, 
35.4, 28.9, 43.5, 29.7, 32.7, 31.2, 67.1, 45, 39.1, 23.2, 34.9, 
27.7, 26.8, 27.6, 35.9, 30.1, 32, 27.9, 31.6, 22.6, 33.1, 30.4, 
52.3, 24.4, 39.4, 24.3, 22.9, 34.8, 30.9, 31, 40.1, 27.3, 20.4, 
37.7, 23.9, 37.5, 37.7, 33.2, 35.5, 27.7, 42.8, 34.2, 42.6, 34.2, 
41.8, 35.8, 30, 29, 37.8, 34.6, 31.6, 25.2, 28.8, 23.6, 34.6, 
35.7, 37.2, 36.7, 45.2, 44, 46.2, 25.4, 35, 29.7, 43.6, 35.9, 
44.1, 30.8, 18.4, 29.2, 33.1, 25.6, 27.1, 38.2, 30, 31.2, 52.3, 
35.4, 30.1, 31.2, 28, 24.4, 35.8, 27.6, 33.6, 30.1, 28.7, 25.9, 
33.3, 30.9, 30, 32.1, 32.4, 32, 33.6, 36.3, 40, 25.1, 27.5, 45.6, 
25.2, 23, 33.2, 34.2, 40.5, 26.5, 27.8, 24.9, 25.3, 37.9, 35.9, 
32.4, 30.4, 27, 26, 38.7, 45.6, 20.8, 36.1, 36.9, 36.6, 43.3, 
40.5, 21.9, 35.5, 28, 30.7, 36.6, 23.6, 32.3, 31.6, 35.8, 52.9, 
21, 39.7, 25.5, 24.8, 30.5, 32.9, 26.2, 39.4, 26.6, 29.5, 35.9, 
34.1, 19.3, 30.5, 38.1, 23.5, 27.5, 31.6, 27.4, 26.8, 35.7, 25.6, 
35.1, 35.1, 45.5, 30.8, 23.1, 32.7, 43.3, 23.6, 23.9, 47.9, 33.8, 
31.2, 34.2, 39.9, 25.9, 25.9, 32, 34.7, 36.8, 38.5, 28.7, 23.5, 
21.8, 41, 42.2, 31.2, 34.4, 27.2, 42.7, 30.4, 33.3, 39.9, 35.3, 
36.5, 31.2, 29.8, 39.2, 38.5, 34.9, 34, 27.6, 21, 27.5, 32.8, 
38.4, 0, 35.8, 34.9, 36.2, 39.2, 25.2, 37.2, 48.3, 43.4, 30.8, 
20, 25.4, 25.1), DiabetesPedigreeFunction = c(0.627, 0.351, 0.672, 
0.167, 2.288, 0.201, 0.248, 0.134, 0.158, 0.232, 0.191, 0.537, 
1.441, 0.398, 0.587, 0.484, 0.551, 0.254, 0.183, 0.529, 0.704, 
0.388, 0.451, 0.263, 0.254, 0.205, 0.257, 0.487, 0.245, 0.337, 
0.546, 0.851, 0.267, 0.188, 0.512, 0.966, 0.42, 0.665, 0.503, 
1.39, 0.271, 0.696, 0.235, 0.721, 0.294, 1.893, 0.564, 0.586, 
0.344, 0.305, 0.491, 0.526, 0.342, 0.467, 0.718, 0.248, 0.254, 
0.962, 1.781, 0.173, 0.304, 0.27, 0.587, 0.699, 0.258, 0.203, 
0.855, 0.845, 0.334, 0.189, 0.867, 0.411, 0.583, 0.231, 0.396, 
0.14, 0.391, 0.37, 0.27, 0.307, 0.14, 0.102, 0.767, 0.237, 0.227, 
0.698, 0.178, 0.324, 0.153, 0.165, 0.258, 0.443, 0.261, 0.277, 
0.761, 0.255, 0.13, 0.323, 0.356, 0.325, 1.222, 0.179, 0.262, 
0.283, 0.93, 0.801, 0.207, 0.287, 0.336, 0.247, 0.199, 0.543, 
0.192, 0.391, 0.588, 0.539, 0.22, 0.654, 0.443, 0.223, 0.759, 
0.26, 0.404, 0.186, 0.278, 0.496, 0.452, 0.261, 0.403, 0.741, 
0.361, 1.114, 0.356, 0.457, 0.647, 0.088, 0.597, 0.532, 0.703, 
0.159, 0.268, 0.286, 0.318, 0.272, 0.237, 0.572, 0.096, 1.4, 
0.218, 0.085, 0.399, 0.432, 1.189, 0.687, 0.137, 0.337, 0.637, 
0.833, 0.229, 0.817, 0.294, 0.204, 0.167, 0.368, 0.743, 0.722, 
0.256, 0.709, 0.471, 0.495, 0.18, 0.542, 0.773, 0.678, 0.37, 
0.719, 0.382, 0.319, 0.19, 0.956, 0.084, 0.725, 0.299, 0.268, 
0.244, 0.745, 0.615, 1.321, 0.64, 0.361, 0.142, 0.374, 0.383, 
0.578, 0.136, 0.395, 0.187, 0.678, 0.905, 0.15, 0.874, 0.236, 
0.787, 0.235, 0.324, 0.407, 0.605, 0.151, 0.289, 0.355, 0.29, 
0.375, 0.164, 0.431, 0.26, 0.742, 0.514, 0.464, 1.224, 0.261, 
1.072, 0.805, 0.209, 0.687, 0.666, 0.101, 0.198, 0.652, 2.329, 
0.089, 0.645, 0.238, 0.583, 0.394, 0.293, 0.479, 0.586, 0.686, 
0.831, 0.582, 0.192, 0.446, 0.402, 1.318, 0.329, 1.213, 0.258, 
0.427, 0.282, 0.143, 0.38, 0.284, 0.249, 0.238, 0.926, 0.543, 
0.557, 0.092, 0.655, 1.353, 0.299, 0.761, 0.612, 0.2, 0.226, 
0.997, 0.933, 1.101, 0.078, 0.24, 1.136, 0.128, 0.254, 0.422, 
0.251, 0.677, 0.296, 0.454, 0.744, 0.881, 0.334, 0.28, 0.262, 
0.165, 0.259, 0.647, 0.619, 0.808, 0.34, 0.263, 0.434, 0.757, 
1.224, 0.613, 0.254, 0.692, 0.337, 0.52, 0.412, 0.84, 0.839, 
0.422, 0.156, 0.209, 0.207, 0.215, 0.326, 0.143, 1.391, 0.875, 
0.313, 0.605, 0.433, 0.626, 1.127, 0.315, 0.284, 0.345, 0.15, 
0.129, 0.527, 0.197, 0.254, 0.731, 0.148, 0.123, 0.692, 0.2, 
0.127, 0.122, 1.476, 0.166, 0.282, 0.137, 0.26, 0.259, 0.932, 
0.343, 0.893, 0.331, 0.472, 0.673, 0.389, 0.29, 0.485, 0.349, 
0.654, 0.187, 0.279, 0.346, 0.237, 0.252, 0.243, 0.58, 0.559, 
0.302, 0.962, 0.569, 0.378, 0.875, 0.583, 0.207, 0.305, 0.52, 
0.385, 0.499, 0.368, 0.252, 0.306, 0.234, 2.137, 1.731, 0.545, 
0.225, 0.816, 0.528, 0.299, 0.509, 0.238, 1.021, 0.821, 0.236, 
0.947, 1.268), Age = c(50, 31, 32, 21, 33, 30, 26, 29, 53, 54, 
30, 34, 57, 59, 51, 32, 31, 31, 33, 32, 27, 50, 41, 29, 51, 41, 
43, 22, 57, 38, 60, 28, 22, 28, 45, 33, 35, 46, 27, 56, 26, 37, 
48, 54, 40, 25, 29, 22, 31, 24, 22, 26, 30, 58, 42, 21, 41, 31, 
44, 22, 21, 39, 36, 24, 42, 32, 38, 54, 25, 27, 28, 26, 42, 23, 
22, 22, 41, 27, 26, 24, 22, 22, 36, 22, 37, 27, 45, 26, 43, 24, 
21, 34, 42, 60, 21, 40, 24, 22, 23, 31, 33, 22, 21, 24, 27, 21, 
27, 37, 25, 24, 24, 46, 23, 25, 39, 61, 38, 25, 22, 21, 25, 24, 
23, 69, 23, 26, 30, 23, 40, 62, 33, 33, 30, 39, 26, 31, 21, 22, 
29, 28, 55, 38, 22, 42, 23, 21, 41, 34, 65, 22, 24, 37, 42, 23, 
43, 36, 21, 23, 22, 47, 36, 45, 27, 21, 32, 41, 22, 34, 29, 29, 
36, 29, 25, 23, 33, 36, 42, 26, 47, 37, 32, 23, 21, 27, 40, 41, 
60, 33, 31, 25, 21, 40, 36, 40, 42, 29, 21, 23, 26, 29, 21, 28, 
32, 27, 55, 27, 57, 52, 21, 41, 25, 24, 60, 24, 36, 38, 25, 32, 
32, 41, 21, 66, 37, 61, 26, 22, 26, 24, 31, 24, 22, 46, 22, 29, 
23, 26, 51, 23, 32, 27, 21, 22, 22, 33, 29, 49, 41, 23, 34, 23, 
42, 27, 24, 25, 44, 21, 30, 25, 24, 51, 34, 27, 24, 63, 35, 43, 
25, 24, 21, 28, 38, 21, 40, 21, 52, 25, 29, 23, 57, 22, 28, 39, 
37, 47, 52, 51, 34, 29, 26, 33, 21, 25, 31, 24, 65, 28, 29, 24, 
46, 58, 30, 25, 35, 28, 37, 29, 47, 21, 25, 30, 41, 22, 27, 25, 
43, 26, 30, 29, 28, 59, 31, 25, 36, 43, 21, 24, 30, 37, 23, 37, 
46, 25, 41, 44, 22, 26, 44, 44, 33, 41, 22, 36, 22, 33, 57, 49, 
22, 23, 26, 37, 29, 30, 46, 24, 21, 49, 28, 44, 48, 29, 29, 63, 
65, 67, 30, 30, 29, 21, 22, 45, 25, 21, 21, 25, 28, 58, 22, 22, 
32, 35, 24, 22, 21, 25), Outcome = c(1, 0, 1, 0, 1, 0, 1, 0, 
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0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 
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0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 
1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 
0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 
1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 
1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 
0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 
0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 
0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 
0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 
1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 
0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0)), row.names = c(NA, 
-384L), class = c("tbl_df", "tbl", "data.frame"))



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