This is a notebook to try out the code from The R Journal paper about the neuralnet package, neuralnet: Training of Neural Networks.
library(datasets)
infert
library(neuralnet)
library(NeuralNetTools)
nn <- neuralnet(case~age+parity+induced+spontaneous, data=infert, hidden=2, err.fct="ce", linear.output=FALSE)
nn
## $call
## neuralnet(formula = case ~ age + parity + induced + spontaneous,
## data = infert, hidden = 2, err.fct = "ce", linear.output = FALSE)
##
## $response
## case
## 1 1
## 2 1
## 3 1
## 4 1
## 5 1
## 6 1
## 7 1
## 8 1
## 9 1
## 10 1
## 11 1
## 12 1
## 13 1
## 14 1
## 15 1
## 16 1
## 17 1
## 18 1
## 19 1
## 20 1
## 21 1
## 22 1
## 23 1
## 24 1
## 25 1
## 26 1
## 27 1
## 28 1
## 29 1
## 30 1
## 31 1
## 32 1
## 33 1
## 34 1
## 35 1
## 36 1
## 37 1
## 38 1
## 39 1
## 40 1
## 41 1
## 42 1
## 43 1
## 44 1
## 45 1
## 46 1
## 47 1
## 48 1
## 49 1
## 50 1
## 51 1
## 52 1
## 53 1
## 54 1
## 55 1
## 56 1
## 57 1
## 58 1
## 59 1
## 60 1
## 61 1
## 62 1
## 63 1
## 64 1
## 65 1
## 66 1
## 67 1
## 68 1
## 69 1
## 70 1
## 71 1
## 72 1
## 73 1
## 74 1
## 75 1
## 76 1
## 77 1
## 78 1
## 79 1
## 80 1
## 81 1
## 82 1
## 83 1
## 84 0
## 85 0
## 86 0
## 87 0
## 88 0
## 89 0
## 90 0
## 91 0
## 92 0
## 93 0
## 94 0
## 95 0
## 96 0
## 97 0
## 98 0
## 99 0
## 100 0
## 101 0
## 102 0
## 103 0
## 104 0
## 105 0
## 106 0
## 107 0
## 108 0
## 109 0
## 110 0
## 111 0
## 112 0
## 113 0
## 114 0
## 115 0
## 116 0
## 117 0
## 118 0
## 119 0
## 120 0
## 121 0
## 122 0
## 123 0
## 124 0
## 125 0
## 126 0
## 127 0
## 128 0
## 129 0
## 130 0
## 131 0
## 132 0
## 133 0
## 134 0
## 135 0
## 136 0
## 137 0
## 138 0
## 139 0
## 140 0
## 141 0
## 142 0
## 143 0
## 144 0
## 145 0
## 146 0
## 147 0
## 148 0
## 149 0
## 150 0
## 151 0
## 152 0
## 153 0
## 154 0
## 155 0
## 156 0
## 157 0
## 158 0
## 159 0
## 160 0
## 161 0
## 162 0
## 163 0
## 164 0
## 165 0
## 166 0
## 167 0
## 168 0
## 169 0
## 170 0
## 171 0
## 172 0
## 173 0
## 174 0
## 175 0
## 176 0
## 177 0
## 178 0
## 179 0
## 180 0
## 181 0
## 182 0
## 183 0
## 184 0
## 185 0
## 186 0
## 187 0
## 188 0
## 189 0
## 190 0
## 191 0
## 192 0
## 193 0
## 194 0
## 195 0
## 196 0
## 197 0
## 198 0
## 199 0
## 200 0
## 201 0
## 202 0
## 203 0
## 204 0
## 205 0
## 206 0
## 207 0
## 208 0
## 209 0
## 210 0
## 211 0
## 212 0
## 213 0
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## 215 0
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## 217 0
## 218 0
## 219 0
## 220 0
## 221 0
## 222 0
## 223 0
## 224 0
## 225 0
## 226 0
## 227 0
## 228 0
## 229 0
## 230 0
## 231 0
## 232 0
## 233 0
## 234 0
## 235 0
## 236 0
## 237 0
## 238 0
## 239 0
## 240 0
## 241 0
## 242 0
## 243 0
## 244 0
## 245 0
## 246 0
## 247 0
## 248 0
##
## $covariate
## [,1] [,2] [,3] [,4]
## [1,] 26 6 1 2
## [2,] 42 1 1 0
## [3,] 39 6 2 0
## [4,] 34 4 2 0
## [5,] 35 3 1 1
## [6,] 36 4 2 1
## [7,] 23 1 0 0
## [8,] 32 2 0 0
## [9,] 21 1 0 1
## [10,] 28 2 0 0
## [11,] 29 2 1 0
## [12,] 37 4 2 1
## [13,] 31 1 1 0
## [14,] 29 3 2 0
## [15,] 31 2 1 1
## [16,] 27 2 2 0
## [17,] 30 5 2 1
## [18,] 26 1 0 1
## [19,] 25 3 2 1
## [20,] 44 1 0 1
## [21,] 40 1 0 1
## [22,] 35 2 2 0
## [23,] 28 2 0 2
## [24,] 36 1 0 1
## [25,] 27 2 1 1
## [26,] 40 2 0 2
## [27,] 38 2 0 2
## [28,] 34 3 0 2
## [29,] 28 4 1 2
## [30,] 30 4 2 0
## [31,] 32 1 0 1
## [32,] 34 2 1 0
## [33,] 42 1 1 0
## [34,] 32 2 0 2
## [35,] 39 1 1 0
## [36,] 35 2 0 2
## [37,] 36 1 0 1
## [38,] 34 3 1 2
## [39,] 30 3 0 0
## [40,] 28 1 0 1
## [41,] 39 3 0 2
## [42,] 35 1 0 0
## [43,] 41 1 0 0
## [44,] 37 2 1 1
## [45,] 30 1 0 0
## [46,] 37 1 1 0
## [47,] 28 2 0 2
## [48,] 27 4 2 0
## [49,] 26 2 2 0
## [50,] 38 3 0 2
## [51,] 24 3 1 2
## [52,] 36 5 1 2
## [53,] 27 3 1 1
## [54,] 28 1 0 1
## [55,] 29 2 0 2
## [56,] 36 2 0 2
## [57,] 28 2 1 0
## [58,] 28 2 0 2
## [59,] 28 1 0 1
## [60,] 27 2 0 2
## [61,] 35 2 0 2
## [62,] 25 1 0 1
## [63,] 34 1 0 1
## [64,] 31 2 0 2
## [65,] 26 2 1 0
## [66,] 32 1 0 1
## [67,] 21 1 0 1
## [68,] 28 3 1 2
## [69,] 37 3 0 2
## [70,] 25 1 1 0
## [71,] 32 1 1 0
## [72,] 25 1 0 1
## [73,] 31 1 0 1
## [74,] 38 6 0 2
## [75,] 26 2 0 2
## [76,] 31 1 0 1
## [77,] 31 2 0 1
## [78,] 25 1 1 0
## [79,] 31 1 0 1
## [80,] 34 1 0 1
## [81,] 35 2 2 0
## [82,] 29 1 0 1
## [83,] 23 1 0 1
## [84,] 26 6 2 0
## [85,] 42 1 0 0
## [86,] 39 6 2 0
## [87,] 34 4 0 1
## [88,] 35 3 2 0
## [89,] 36 4 1 1
## [90,] 23 1 0 0
## [91,] 32 2 2 0
## [92,] 21 1 0 1
## [93,] 28 2 0 1
## [94,] 29 2 0 0
## [95,] 37 4 1 1
## [96,] 31 1 0 0
## [97,] 29 3 0 1
## [98,] 31 2 1 0
## [99,] 27 2 1 0
## [100,] 30 5 0 2
## [101,] 26 1 0 0
## [102,] 25 3 0 1
## [103,] 44 1 0 0
## [104,] 40 1 0 0
## [105,] 35 2 0 0
## [106,] 28 2 0 0
## [107,] 36 1 0 0
## [108,] 27 2 0 1
## [109,] 40 2 0 0
## [110,] 38 2 0 0
## [111,] 34 3 0 0
## [112,] 28 4 0 2
## [113,] 30 4 1 1
## [114,] 32 1 0 0
## [115,] 34 2 1 0
## [116,] 42 1 1 0
## [117,] 32 2 0 0
## [118,] 39 1 0 0
## [119,] 35 2 0 0
## [120,] 36 1 0 0
## [121,] 34 3 2 0
## [122,] 30 3 0 2
## [123,] 28 1 1 0
## [124,] 39 3 1 0
## [125,] 35 1 0 0
## [126,] 41 1 0 0
## [127,] 37 2 0 0
## [128,] 30 1 1 0
## [129,] 37 1 0 0
## [130,] 28 2 1 0
## [131,] 27 4 2 1
## [132,] 26 2 1 0
## [133,] 38 3 1 0
## [134,] 24 3 2 1
## [135,] 36 5 1 1
## [136,] 27 3 1 1
## [137,] 28 1 1 0
## [138,] 29 2 1 0
## [139,] 36 2 1 0
## [140,] 28 2 1 1
## [141,] 28 2 2 0
## [142,] 28 1 1 0
## [143,] 27 2 1 0
## [144,] 35 2 2 0
## [145,] 25 1 1 0
## [146,] 34 1 0 0
## [147,] 31 2 0 0
## [148,] 26 2 0 1
## [149,] 32 1 0 0
## [150,] 21 1 0 1
## [151,] 28 3 2 0
## [152,] 37 3 1 1
## [153,] 25 1 0 0
## [154,] 32 1 1 0
## [155,] 25 1 0 0
## [156,] 31 1 0 1
## [157,] 26 2 0 2
## [158,] 31 1 0 0
## [159,] 31 2 2 0
## [160,] 25 1 0 0
## [161,] 31 1 0 0
## [162,] 34 1 0 0
## [163,] 35 2 0 0
## [164,] 29 1 0 1
## [165,] 23 1 0 1
## [166,] 26 6 2 0
## [167,] 42 1 0 0
## [168,] 39 6 2 0
## [169,] 34 4 0 2
## [170,] 35 3 0 0
## [171,] 36 4 0 2
## [172,] 23 1 0 0
## [173,] 32 2 0 1
## [174,] 21 1 1 0
## [175,] 28 2 0 1
## [176,] 29 2 0 1
## [177,] 37 4 0 1
## [178,] 31 1 0 0
## [179,] 29 3 0 2
## [180,] 31 2 1 0
## [181,] 27 2 0 0
## [182,] 30 5 1 2
## [183,] 26 1 1 0
## [184,] 25 3 1 1
## [185,] 44 1 1 0
## [186,] 40 1 0 0
## [187,] 35 2 0 0
## [188,] 28 2 2 0
## [189,] 36 1 0 1
## [190,] 27 2 0 2
## [191,] 40 2 0 0
## [192,] 38 2 0 0
## [193,] 34 3 0 0
## [194,] 28 4 2 1
## [195,] 30 4 1 1
## [196,] 32 1 0 0
## [197,] 34 2 0 0
## [198,] 42 1 0 0
## [199,] 32 2 2 0
## [200,] 39 1 0 0
## [201,] 35 2 0 0
## [202,] 36 1 0 0
## [203,] 34 3 2 0
## [204,] 30 3 0 1
## [205,] 28 1 0 0
## [206,] 39 3 0 0
## [207,] 35 1 0 0
## [208,] 41 1 0 0
## [209,] 37 2 0 0
## [210,] 30 1 0 0
## [211,] 37 1 0 1
## [212,] 28 2 1 0
## [213,] 27 4 2 0
## [214,] 26 2 1 0
## [215,] 38 3 1 0
## [216,] 24 3 2 0
## [217,] 36 5 2 1
## [218,] 27 3 2 0
## [219,] 28 1 0 1
## [220,] 29 2 1 1
## [221,] 36 2 0 1
## [222,] 28 2 2 0
## [223,] 28 2 1 0
## [224,] 28 1 0 0
## [225,] 27 2 1 0
## [226,] 35 2 1 0
## [227,] 25 1 1 0
## [228,] 34 1 0 0
## [229,] 31 2 1 0
## [230,] 26 2 0 2
## [231,] 32 1 1 0
## [232,] 21 1 0 0
## [233,] 28 3 2 0
## [234,] 37 3 0 2
## [235,] 25 1 1 0
## [236,] 32 1 0 0
## [237,] 25 1 1 0
## [238,] 31 1 0 0
## [239,] 38 6 0 2
## [240,] 26 2 1 1
## [241,] 31 1 1 0
## [242,] 31 2 0 1
## [243,] 25 1 0 1
## [244,] 31 1 0 1
## [245,] 34 1 0 0
## [246,] 35 2 2 0
## [247,] 29 1 0 1
## [248,] 23 1 0 1
##
## $model.list
## $model.list$response
## [1] "case"
##
## $model.list$variables
## [1] "age" "parity" "induced" "spontaneous"
##
##
## $err.fct
## function (x, y)
## {
## -(y * log(x) + (1 - y) * log(1 - x))
## }
## <environment: 0x5620e9304450>
## attr(,"type")
## [1] "ce"
##
## $act.fct
## function (x)
## {
## 1/(1 + exp(-x))
## }
## <environment: 0x5620e9304450>
## attr(,"type")
## [1] "logistic"
##
## $linear.output
## [1] FALSE
##
## $data
## education age parity induced case spontaneous stratum pooled.stratum
## 1 0-5yrs 26 6 1 1 2 1 3
## 2 0-5yrs 42 1 1 1 0 2 1
## 3 0-5yrs 39 6 2 1 0 3 4
## 4 0-5yrs 34 4 2 1 0 4 2
## 5 6-11yrs 35 3 1 1 1 5 32
## 6 6-11yrs 36 4 2 1 1 6 36
## 7 6-11yrs 23 1 0 1 0 7 6
## 8 6-11yrs 32 2 0 1 0 8 22
## 9 6-11yrs 21 1 0 1 1 9 5
## 10 6-11yrs 28 2 0 1 0 10 19
## 11 6-11yrs 29 2 1 1 0 11 20
## 12 6-11yrs 37 4 2 1 1 12 37
## 13 6-11yrs 31 1 1 1 0 13 9
## 14 6-11yrs 29 3 2 1 0 14 29
## 15 6-11yrs 31 2 1 1 1 15 21
## 16 6-11yrs 27 2 2 1 0 16 18
## 17 6-11yrs 30 5 2 1 1 17 38
## 18 6-11yrs 26 1 0 1 1 18 7
## 19 6-11yrs 25 3 2 1 1 19 28
## 20 6-11yrs 44 1 0 1 1 20 17
## 21 6-11yrs 40 1 0 1 1 21 14
## 22 6-11yrs 35 2 2 1 0 22 24
## 23 6-11yrs 28 2 0 1 2 23 19
## 24 6-11yrs 36 1 0 1 1 24 12
## 25 6-11yrs 27 2 1 1 1 25 18
## 26 6-11yrs 40 2 0 1 2 26 27
## 27 6-11yrs 38 2 0 1 2 27 26
## 28 6-11yrs 34 3 0 1 2 28 31
## 29 6-11yrs 28 4 1 1 2 29 34
## 30 6-11yrs 30 4 2 1 0 30 35
## 31 6-11yrs 32 1 0 1 1 31 10
## 32 6-11yrs 34 2 1 1 0 32 23
## 33 6-11yrs 42 1 1 1 0 33 16
## 34 6-11yrs 32 2 0 1 2 34 22
## 35 6-11yrs 39 1 1 1 0 35 13
## 36 6-11yrs 35 2 0 1 2 36 24
## 37 6-11yrs 36 1 0 1 1 37 12
## 38 6-11yrs 34 3 1 1 2 38 31
## 39 6-11yrs 30 3 0 1 0 39 30
## 40 6-11yrs 28 1 0 1 1 40 8
## 41 6-11yrs 39 3 0 1 2 41 33
## 42 6-11yrs 35 1 0 1 0 42 11
## 43 6-11yrs 41 1 0 1 0 43 15
## 44 6-11yrs 37 2 1 1 1 44 25
## 45 12+ yrs 30 1 0 1 0 45 44
## 46 12+ yrs 37 1 1 1 0 46 48
## 47 12+ yrs 28 2 0 1 2 47 51
## 48 12+ yrs 27 4 2 1 0 48 61
## 49 12+ yrs 26 2 2 1 0 49 49
## 50 12+ yrs 38 3 0 1 2 50 60
## 51 12+ yrs 24 3 1 1 2 51 56
## 52 12+ yrs 36 5 1 1 2 52 62
## 53 12+ yrs 27 3 1 1 1 53 57
## 54 12+ yrs 28 1 0 1 1 54 42
## 55 12+ yrs 29 2 0 1 2 55 52
## 56 12+ yrs 36 2 0 1 2 56 55
## 57 12+ yrs 28 2 1 1 0 57 51
## 58 12+ yrs 28 2 0 1 2 58 51
## 59 12+ yrs 28 1 0 1 1 59 42
## 60 12+ yrs 27 2 0 1 2 60 50
## 61 12+ yrs 35 2 0 1 2 61 54
## 62 12+ yrs 25 1 0 1 1 62 41
## 63 12+ yrs 34 1 0 1 1 63 47
## 64 12+ yrs 31 2 0 1 2 64 53
## 65 12+ yrs 26 2 1 1 0 65 49
## 66 12+ yrs 32 1 0 1 1 66 46
## 67 12+ yrs 21 1 0 1 1 67 39
## 68 12+ yrs 28 3 1 1 2 68 58
## 69 12+ yrs 37 3 0 1 2 69 59
## 70 12+ yrs 25 1 1 1 0 70 41
## 71 12+ yrs 32 1 1 1 0 71 46
## 72 12+ yrs 25 1 0 1 1 72 41
## 73 12+ yrs 31 1 0 1 1 73 45
## 74 12+ yrs 38 6 0 1 2 74 63
## 75 12+ yrs 26 2 0 1 2 75 49
## 76 12+ yrs 31 1 0 1 1 76 45
## 77 12+ yrs 31 2 0 1 1 77 53
## 78 12+ yrs 25 1 1 1 0 78 41
## 79 12+ yrs 31 1 0 1 1 79 45
## 80 12+ yrs 34 1 0 1 1 80 47
## 81 12+ yrs 35 2 2 1 0 81 54
## 82 12+ yrs 29 1 0 1 1 82 43
## 83 12+ yrs 23 1 0 1 1 83 40
## 84 0-5yrs 26 6 2 0 0 1 3
## 85 0-5yrs 42 1 0 0 0 2 1
## 86 0-5yrs 39 6 2 0 0 3 4
## 87 0-5yrs 34 4 0 0 1 4 2
## 88 6-11yrs 35 3 2 0 0 5 32
## 89 6-11yrs 36 4 1 0 1 6 36
## 90 6-11yrs 23 1 0 0 0 7 6
## 91 6-11yrs 32 2 2 0 0 8 22
## 92 6-11yrs 21 1 0 0 1 9 5
## 93 6-11yrs 28 2 0 0 1 10 19
## 94 6-11yrs 29 2 0 0 0 11 20
## 95 6-11yrs 37 4 1 0 1 12 37
## 96 6-11yrs 31 1 0 0 0 13 9
## 97 6-11yrs 29 3 0 0 1 14 29
## 98 6-11yrs 31 2 1 0 0 15 21
## 99 6-11yrs 27 2 1 0 0 16 18
## 100 6-11yrs 30 5 0 0 2 17 38
## 101 6-11yrs 26 1 0 0 0 18 7
## 102 6-11yrs 25 3 0 0 1 19 28
## 103 6-11yrs 44 1 0 0 0 20 17
## 104 6-11yrs 40 1 0 0 0 21 14
## 105 6-11yrs 35 2 0 0 0 22 24
## 106 6-11yrs 28 2 0 0 0 23 19
## 107 6-11yrs 36 1 0 0 0 24 12
## 108 6-11yrs 27 2 0 0 1 25 18
## 109 6-11yrs 40 2 0 0 0 26 27
## 110 6-11yrs 38 2 0 0 0 27 26
## 111 6-11yrs 34 3 0 0 0 28 31
## 112 6-11yrs 28 4 0 0 2 29 34
## 113 6-11yrs 30 4 1 0 1 30 35
## 114 6-11yrs 32 1 0 0 0 31 10
## 115 6-11yrs 34 2 1 0 0 32 23
## 116 6-11yrs 42 1 1 0 0 33 16
## 117 6-11yrs 32 2 0 0 0 34 22
## 118 6-11yrs 39 1 0 0 0 35 13
## 119 6-11yrs 35 2 0 0 0 36 24
## 120 6-11yrs 36 1 0 0 0 37 12
## 121 6-11yrs 34 3 2 0 0 38 31
## 122 6-11yrs 30 3 0 0 2 39 30
## 123 6-11yrs 28 1 1 0 0 40 8
## 124 6-11yrs 39 3 1 0 0 41 33
## 125 6-11yrs 35 1 0 0 0 42 11
## 126 6-11yrs 41 1 0 0 0 43 15
## 127 6-11yrs 37 2 0 0 0 44 25
## 128 12+ yrs 30 1 1 0 0 45 44
## 129 12+ yrs 37 1 0 0 0 46 48
## 130 12+ yrs 28 2 1 0 0 47 51
## 131 12+ yrs 27 4 2 0 1 48 61
## 132 12+ yrs 26 2 1 0 0 49 49
## 133 12+ yrs 38 3 1 0 0 50 60
## 134 12+ yrs 24 3 2 0 1 51 56
## 135 12+ yrs 36 5 1 0 1 52 62
## 136 12+ yrs 27 3 1 0 1 53 57
## 137 12+ yrs 28 1 1 0 0 54 42
## 138 12+ yrs 29 2 1 0 0 55 52
## 139 12+ yrs 36 2 1 0 0 56 55
## 140 12+ yrs 28 2 1 0 1 57 51
## 141 12+ yrs 28 2 2 0 0 58 51
## 142 12+ yrs 28 1 1 0 0 59 42
## 143 12+ yrs 27 2 1 0 0 60 50
## 144 12+ yrs 35 2 2 0 0 61 54
## 145 12+ yrs 25 1 1 0 0 62 41
## 146 12+ yrs 34 1 0 0 0 63 47
## 147 12+ yrs 31 2 0 0 0 64 53
## 148 12+ yrs 26 2 0 0 1 65 49
## 149 12+ yrs 32 1 0 0 0 66 46
## 150 12+ yrs 21 1 0 0 1 67 39
## 151 12+ yrs 28 3 2 0 0 68 58
## 152 12+ yrs 37 3 1 0 1 69 59
## 153 12+ yrs 25 1 0 0 0 70 41
## 154 12+ yrs 32 1 1 0 0 71 46
## 155 12+ yrs 25 1 0 0 0 72 41
## 156 12+ yrs 31 1 0 0 1 73 45
## 157 12+ yrs 26 2 0 0 2 75 49
## 158 12+ yrs 31 1 0 0 0 76 45
## 159 12+ yrs 31 2 2 0 0 77 53
## 160 12+ yrs 25 1 0 0 0 78 41
## 161 12+ yrs 31 1 0 0 0 79 45
## 162 12+ yrs 34 1 0 0 0 80 47
## 163 12+ yrs 35 2 0 0 0 81 54
## 164 12+ yrs 29 1 0 0 1 82 43
## 165 12+ yrs 23 1 0 0 1 83 40
## 166 0-5yrs 26 6 2 0 0 1 3
## 167 0-5yrs 42 1 0 0 0 2 1
## 168 0-5yrs 39 6 2 0 0 3 4
## 169 0-5yrs 34 4 0 0 2 4 2
## 170 6-11yrs 35 3 0 0 0 5 32
## 171 6-11yrs 36 4 0 0 2 6 36
## 172 6-11yrs 23 1 0 0 0 7 6
## 173 6-11yrs 32 2 0 0 1 8 22
## 174 6-11yrs 21 1 1 0 0 9 5
## 175 6-11yrs 28 2 0 0 1 10 19
## 176 6-11yrs 29 2 0 0 1 11 20
## 177 6-11yrs 37 4 0 0 1 12 37
## 178 6-11yrs 31 1 0 0 0 13 9
## 179 6-11yrs 29 3 0 0 2 14 29
## 180 6-11yrs 31 2 1 0 0 15 21
## 181 6-11yrs 27 2 0 0 0 16 18
## 182 6-11yrs 30 5 1 0 2 17 38
## 183 6-11yrs 26 1 1 0 0 18 7
## 184 6-11yrs 25 3 1 0 1 19 28
## 185 6-11yrs 44 1 1 0 0 20 17
## 186 6-11yrs 40 1 0 0 0 21 14
## 187 6-11yrs 35 2 0 0 0 22 24
## 188 6-11yrs 28 2 2 0 0 23 19
## 189 6-11yrs 36 1 0 0 1 24 12
## 190 6-11yrs 27 2 0 0 2 25 18
## 191 6-11yrs 40 2 0 0 0 26 27
## 192 6-11yrs 38 2 0 0 0 27 26
## 193 6-11yrs 34 3 0 0 0 28 31
## 194 6-11yrs 28 4 2 0 1 29 34
## 195 6-11yrs 30 4 1 0 1 30 35
## 196 6-11yrs 32 1 0 0 0 31 10
## 197 6-11yrs 34 2 0 0 0 32 23
## 198 6-11yrs 42 1 0 0 0 33 16
## 199 6-11yrs 32 2 2 0 0 34 22
## 200 6-11yrs 39 1 0 0 0 35 13
## 201 6-11yrs 35 2 0 0 0 36 24
## 202 6-11yrs 36 1 0 0 0 37 12
## 203 6-11yrs 34 3 2 0 0 38 31
## 204 6-11yrs 30 3 0 0 1 39 30
## 205 6-11yrs 28 1 0 0 0 40 8
## 206 6-11yrs 39 3 0 0 0 41 33
## 207 6-11yrs 35 1 0 0 0 42 11
## 208 6-11yrs 41 1 0 0 0 43 15
## 209 6-11yrs 37 2 0 0 0 44 25
## 210 12+ yrs 30 1 0 0 0 45 44
## 211 12+ yrs 37 1 0 0 1 46 48
## 212 12+ yrs 28 2 1 0 0 47 51
## 213 12+ yrs 27 4 2 0 0 48 61
## 214 12+ yrs 26 2 1 0 0 49 49
## 215 12+ yrs 38 3 1 0 0 50 60
## 216 12+ yrs 24 3 2 0 0 51 56
## 217 12+ yrs 36 5 2 0 1 52 62
## 218 12+ yrs 27 3 2 0 0 53 57
## 219 12+ yrs 28 1 0 0 1 54 42
## 220 12+ yrs 29 2 1 0 1 55 52
## 221 12+ yrs 36 2 0 0 1 56 55
## 222 12+ yrs 28 2 2 0 0 57 51
## 223 12+ yrs 28 2 1 0 0 58 51
## 224 12+ yrs 28 1 0 0 0 59 42
## 225 12+ yrs 27 2 1 0 0 60 50
## 226 12+ yrs 35 2 1 0 0 61 54
## 227 12+ yrs 25 1 1 0 0 62 41
## 228 12+ yrs 34 1 0 0 0 63 47
## 229 12+ yrs 31 2 1 0 0 64 53
## 230 12+ yrs 26 2 0 0 2 65 49
## 231 12+ yrs 32 1 1 0 0 66 46
## 232 12+ yrs 21 1 0 0 0 67 39
## 233 12+ yrs 28 3 2 0 0 68 58
## 234 12+ yrs 37 3 0 0 2 69 59
## 235 12+ yrs 25 1 1 0 0 70 41
## 236 12+ yrs 32 1 0 0 0 71 46
## 237 12+ yrs 25 1 1 0 0 72 41
## 238 12+ yrs 31 1 0 0 0 73 45
## 239 12+ yrs 38 6 0 0 2 74 63
## 240 12+ yrs 26 2 1 0 1 75 49
## 241 12+ yrs 31 1 1 0 0 76 45
## 242 12+ yrs 31 2 0 0 1 77 53
## 243 12+ yrs 25 1 0 0 1 78 41
## 244 12+ yrs 31 1 0 0 1 79 45
## 245 12+ yrs 34 1 0 0 0 80 47
## 246 12+ yrs 35 2 2 0 0 81 54
## 247 12+ yrs 29 1 0 0 1 82 43
## 248 12+ yrs 23 1 0 0 1 83 40
##
## $net.result
## $net.result[[1]]
## [,1]
## 1 0.15504454728050834356
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## 124 0.0102320025204 -0.150713357839 0.189001736641 0.28794285828
## 125 0.0220272992165 -0.324453421746 0.406880060590 0.61987900061
## 126 0.0410321710239 -0.604387680918 0.757930968669 1.15470266768
## 127 0.0053559038953 -0.078890350029 0.098932260375 0.15072262475
## 128 0.0810202614120 -1.193396466242 1.496576069007 2.28002344633
## 129 0.0272380481618 -0.401205696663 0.503131072832 0.76651676209
## 130 0.0154672716116 -0.227826804827 0.285705675881 0.43527065095
## 131 0.0773022434017 -1.138631528713 1.427898226190 2.17539322064
## 132 0.0124045527885 -0.182714165631 0.229132275389 0.34908146069
## 133 0.0091485069587 -0.134753895947 0.168987810492 0.25745177813
## 134 0.1505933041732 -2.218179920776 2.781703381977 4.23790615325
## 135 0.0062945050691 -0.092715574788 0.116269751400 0.17713617422
## 136 0.0556027285431 -0.819006241159 1.027072876079 1.56473853020
## 137 0.0685101339979 -1.009127228055 1.265493658487 1.92797096806
## 138 0.0172551449104 -0.254161472719 0.318730605037 0.48558390555
## 139 0.0361620023465 -0.532652018895 0.667971028184 1.01764931116
## 140 0.1515305900526 -2.231985771767 2.799016577373 4.26428268849
## 141 0.0927298905041 -1.365874680160 1.712871972905 2.60954878249
## 142 0.0685101339979 -1.009127228055 1.265493658487 1.92797096806
## 143 0.0138555789725 -0.204087208501 0.255935090200 0.38991536647
## 144 0.1392823060525 -2.051573383699 2.572770840795 3.91959885002
## 145 0.0521571192802 -0.768253776939 0.963426866104 1.46777426756
## 146 0.0197799045615 -0.291350185682 0.365367024225 0.55663417250
## 147 0.0027009673673 -0.039784183059 0.049891262440 0.07600899846
## 148 0.0349678134501 -0.515062087882 0.645912416017 0.98404316579
## 149 0.0159109966367 -0.234362699277 0.293901999149 0.44775769362
## 150 0.0854482704723 -1.258619291657 1.578368601857 2.40463381295
## 151 0.0231975131747 -0.341690211385 0.428495816636 0.65281045770
## 152 0.1201480437149 -1.769733253096 2.219329879071 3.38113395250
## 153 0.0072951566603 -0.107454777699 0.134753414606 0.20529590920
## 154 0.0945101944264 -1.392097854127 1.745757083363 2.65964902426
## 155 0.0072951566603 -0.107454777699 0.134753414606 0.20529590920
## 156 0.1486806057109 -2.190006627501 2.746372728927 4.18408014400
## 157 0.1492120154453 -2.197834083105 2.756188731461 4.19903475699
## 158 0.0142553765172 -0.209976068506 0.263320001424 0.40116622841
## 159 0.1136819591736 -1.674490380417 2.099890775616 3.19916929202
## 160 0.0072951566603 -0.107454777699 0.134753414606 0.20529590920
## 161 0.0142553765172 -0.209976068506 0.263320001424 0.40116622841
## 162 0.0197799045615 -0.291350185682 0.365367024225 0.55663417250
## 163 0.0042660055305 -0.062836577374 0.078800064033 0.12005136076
## 164 0.1388814132147 -2.045668390458 2.565365697725 3.90831716500
## 165 0.0991691027225 -1.460721734131 1.831814700828 2.79075721824
## 166 35.9463573624630 -156.312824259506 8.274987667315 7283.93977338470
## 167 0.0452793353308 -0.666946734507 0.836383004643 1.27422381006
## 168 0.0005411800285 -0.007971368164 0.009996475741 0.01522956297
## 169 0.0662841078751 -0.976338742033 1.224375333682 1.86532748032
## 170 0.0007867581977 -0.011588637663 0.014532704168 0.02214047580
## 171 0.0785718530701 -1.157332377925 1.451349982746 2.21112181200
## 172 0.0058181637602 -0.085699255352 0.107470952294 0.16373126372
## 173 0.0623820581092 -0.918863089393 1.152298124872 1.75551834369
## 174 0.0351816506138 -0.518211824886 0.649862336398 0.99006084259
## 175 0.0427400214502 -0.629543643490 0.789477745153 1.20276396675
## 176 0.0471278541117 -0.694174686409 0.870528154538 1.32624371333
## 177 0.0046106735660 -0.067913401473 0.085166643512 0.12975080123
## 178 0.0142553765172 -0.209976068506 0.263320001424 0.40116622841
## 179 0.1310742318023 -1.930671690294 2.421154352754 3.68861216332
## 180 0.0214260008448 -0.315596534105 0.395773101198 0.60295762364
## 181 0.0017069087365 -0.025142091853 0.031529381942 0.04803479861
## 182 0.0647902542857 -0.954334868390 1.196781427004 1.82328835147
## 183 0.0572636252457 -0.843470593917 1.057752340882 1.61147848584
## 184 0.0459629416961 -0.677015986401 0.849010326613 1.29346144906
## 185 0.1574486302527 -2.319156167651 2.908332410037 4.43082461489
## 186 0.0371189248752 -0.546747109979 0.685646944448 1.04457844918
## 187 0.0042660055305 -0.062836577374 0.078800064033 0.12005136076
## 188 0.0927298905041 -1.365874680160 1.712871972905 2.60954878249
## 189 0.1576338358270 -2.321884172648 2.911753458373 4.43603655872
## 190 0.1447671080263 -2.132362351538 2.674084058429 4.07394884693
## 191 0.0075210594256 -0.110782236252 0.138926206282 0.21165312889
## 192 0.0059992387192 -0.088366418015 0.110815701443 0.16882696626
## 193 0.0007011111217 -0.010327090045 0.012950663306 0.01973024733
## 194 0.0838127764048 -1.234529109686 1.548158365062 2.35860872299
## 195 0.0166668568561 -0.245496221918 0.307863967380 0.46902865711
## 196 0.0159109966367 -0.234362699277 0.293901999149 0.44775769362
## 197 0.0038062161131 -0.056064060767 0.070307005299 0.10711224364
## 198 0.0452793353308 -0.666946734507 0.836383004643 1.27422381006
## 199 0.1205537848928 -1.775709660472 2.226824578872 3.39255207660
## 200 0.0335262176038 -0.493827950164 0.619283794890 0.94347464290
## 201 0.0042660055305 -0.062836577374 0.078800064033 0.12005136076
## 202 0.0245072000262 -0.360981381682 0.452687863978 0.68966687702
## 203 0.0430455751015 -0.634044328150 0.795121818306 1.21136267375
## 204 0.0110259163043 -0.162407394463 0.203666616131 0.31028470228
## 205 0.0102178179808 -0.150504425171 0.188739725114 0.28754368550
## 206 0.0012470838488 -0.018369052782 0.023035668013 0.03509468330
## 207 0.0220272992165 -0.324453421746 0.406880060590 0.61987900061
## 208 0.0410321710239 -0.604387680918 0.757930968669 1.15470266768
## 209 0.0053559038953 -0.078890350029 0.098932260375 0.15072262475
## 210 0.0127643329885 -0.188013585946 0.235778001138 0.35920617859
## 211 0.1563485024439 -2.302951719325 2.888011259219 4.39986548005
## 212 0.0154672716116 -0.227826804827 0.285705675881 0.43527065095
## 213 0.0040223222289 -0.059247173911 0.074298758495 0.11319452206
## 214 0.0124045527885 -0.182714165631 0.229132275389 0.34908146069
## 215 0.0091485069587 -0.134753895947 0.168987810492 0.25745177813
## 216 0.0150352672296 -0.221463549163 0.277725849048 0.42311347146
## 217 0.0460184824536 -0.677834079832 0.850036254782 1.29502444364
## 218 0.0208398607395 -0.306962921744 0.384946139651 0.58646282150
## 219 0.1330359442734 -1.959566940568 2.457390374303 3.74381749530
## 220 0.1545920074394 -2.277079241319 2.855565938218 4.35043525452
## 221 0.0872641074336 -1.285365853259 1.611910065364 2.45573400412
## 222 0.0927298905041 -1.365874680160 1.712871972905 2.60954878249
## 223 0.0154672716116 -0.227826804827 0.285705675881 0.43527065095
## 224 0.0102178179808 -0.150504425171 0.188739725114 0.28754368550
## 225 0.0138555789725 -0.204087208501 0.255935090200 0.38991536647
## 226 0.0326495127505 -0.480914433772 0.603089629626 0.91880294244
## 227 0.0521571192802 -0.768253776939 0.963426866104 1.46777426756
## 228 0.0197799045615 -0.291350185682 0.365367024225 0.55663417250
## 229 0.0214260008448 -0.315596534105 0.395773101198 0.60295762364
## 230 0.1492120154453 -2.197834083105 2.756188731461 4.19903475699
## 231 0.0945101944264 -1.392097854127 1.745757083363 2.65964902426
## 232 0.0046356255330 -0.068280934095 0.085627546945 0.13045298447
## 233 0.0231975131747 -0.341690211385 0.428495816636 0.65281045770
## 234 0.1578245671003 -2.324693569008 2.915276575358 4.44140400345
## 235 0.0521571192802 -0.768253776939 0.963426866104 1.46777426756
## 236 0.0159109966367 -0.234362699277 0.293901999149 0.44775769362
## 237 0.0521571192802 -0.768253776939 0.963426866104 1.46777426756
## 238 0.0142553765172 -0.209976068506 0.263320001424 0.40116622841
## 239 0.0044468163564 -0.065499849461 0.082139934213 0.12513963023
## 240 0.1428434359450 -2.104027421189 2.638550704780 4.01981402471
## 241 0.0876679331539 -1.291314046701 1.619369383546 2.46709822455
## 242 0.0569482342836 -0.838825009552 1.051926556589 1.60260294315
## 243 0.1131794516690 -1.667088643249 2.090608644298 3.18502802819
## 244 0.1486806057109 -2.190006627501 2.746372728927 4.18408014400
## 245 0.0197799045615 -0.291350185682 0.365367024225 0.55663417250
## 246 0.1392823060525 -2.051573383699 2.572770840795 3.91959885002
## 247 0.1388814132147 -2.045668390458 2.565365697725 3.90831716500
## 248 0.0991691027225 -1.460721734131 1.831814700828 2.79075721824
##
##
## $result.matrix
## 1
## error 124.899227679359
## reached.threshold 0.009210615743
## steps 4978.000000000000
## Intercept.to.1layhid1 0.232228344573
## age.to.1layhid1 -2.441340015547
## parity.to.1layhid1 10.616088027125
## induced.to.1layhid1 -0.561856198073
## spontaneous.to.1layhid1 -494.698944720290
## Intercept.to.1layhid2 -5.624128282218
## age.to.1layhid2 0.115526707226
## parity.to.1layhid2 -1.701662790977
## induced.to.1layhid2 2.133966274020
## spontaneous.to.1layhid2 3.251083081713
## Intercept.to.case -1.776806711931
## 1layhid.1.to.case -65.752163207990
## 1layhid.2.to.case 5.467610109614
##
## attr(,"class")
## [1] "nn"
garson(nn)
out <- cbind(nn$covariate,nn$net.result[[1]])
dimnames(out) <- list(NULL,c("age","parity","induced","spontaneous","nn-output"))
head(out)
## age parity induced spontaneous nn-output
## [1,] 26 6 1 2 0.1550445473
## [2,] 42 1 1 0 0.6217709308
## [3,] 39 6 2 0 0.1452791037
## [4,] 34 4 2 0 0.1546270170
## [5,] 35 3 1 1 0.3528767654
## [6,] 36 4 2 1 0.4934958981
nn.bp <- neuralnet(case~age+parity+induced+spontaneous, data=infert, hidden=2, err.fct="ce",
linear.output=FALSE, algorithm="backprop", learningrate=0.01)
nn.bp
## $call
## neuralnet(formula = case ~ age + parity + induced + spontaneous,
## data = infert, hidden = 2, learningrate = 0.01, algorithm = "backprop",
## err.fct = "ce", linear.output = FALSE)
##
## $response
## case
## 1 1
## 2 1
## 3 1
## 4 1
## 5 1
## 6 1
## 7 1
## 8 1
## 9 1
## 10 1
## 11 1
## 12 1
## 13 1
## 14 1
## 15 1
## 16 1
## 17 1
## 18 1
## 19 1
## 20 1
## 21 1
## 22 1
## 23 1
## 24 1
## 25 1
## 26 1
## 27 1
## 28 1
## 29 1
## 30 1
## 31 1
## 32 1
## 33 1
## 34 1
## 35 1
## 36 1
## 37 1
## 38 1
## 39 1
## 40 1
## 41 1
## 42 1
## 43 1
## 44 1
## 45 1
## 46 1
## 47 1
## 48 1
## 49 1
## 50 1
## 51 1
## 52 1
## 53 1
## 54 1
## 55 1
## 56 1
## 57 1
## 58 1
## 59 1
## 60 1
## 61 1
## 62 1
## 63 1
## 64 1
## 65 1
## 66 1
## 67 1
## 68 1
## 69 1
## 70 1
## 71 1
## 72 1
## 73 1
## 74 1
## 75 1
## 76 1
## 77 1
## 78 1
## 79 1
## 80 1
## 81 1
## 82 1
## 83 1
## 84 0
## 85 0
## 86 0
## 87 0
## 88 0
## 89 0
## 90 0
## 91 0
## 92 0
## 93 0
## 94 0
## 95 0
## 96 0
## 97 0
## 98 0
## 99 0
## 100 0
## 101 0
## 102 0
## 103 0
## 104 0
## 105 0
## 106 0
## 107 0
## 108 0
## 109 0
## 110 0
## 111 0
## 112 0
## 113 0
## 114 0
## 115 0
## 116 0
## 117 0
## 118 0
## 119 0
## 120 0
## 121 0
## 122 0
## 123 0
## 124 0
## 125 0
## 126 0
## 127 0
## 128 0
## 129 0
## 130 0
## 131 0
## 132 0
## 133 0
## 134 0
## 135 0
## 136 0
## 137 0
## 138 0
## 139 0
## 140 0
## 141 0
## 142 0
## 143 0
## 144 0
## 145 0
## 146 0
## 147 0
## 148 0
## 149 0
## 150 0
## 151 0
## 152 0
## 153 0
## 154 0
## 155 0
## 156 0
## 157 0
## 158 0
## 159 0
## 160 0
## 161 0
## 162 0
## 163 0
## 164 0
## 165 0
## 166 0
## 167 0
## 168 0
## 169 0
## 170 0
## 171 0
## 172 0
## 173 0
## 174 0
## 175 0
## 176 0
## 177 0
## 178 0
## 179 0
## 180 0
## 181 0
## 182 0
## 183 0
## 184 0
## 185 0
## 186 0
## 187 0
## 188 0
## 189 0
## 190 0
## 191 0
## 192 0
## 193 0
## 194 0
## 195 0
## 196 0
## 197 0
## 198 0
## 199 0
## 200 0
## 201 0
## 202 0
## 203 0
## 204 0
## 205 0
## 206 0
## 207 0
## 208 0
## 209 0
## 210 0
## 211 0
## 212 0
## 213 0
## 214 0
## 215 0
## 216 0
## 217 0
## 218 0
## 219 0
## 220 0
## 221 0
## 222 0
## 223 0
## 224 0
## 225 0
## 226 0
## 227 0
## 228 0
## 229 0
## 230 0
## 231 0
## 232 0
## 233 0
## 234 0
## 235 0
## 236 0
## 237 0
## 238 0
## 239 0
## 240 0
## 241 0
## 242 0
## 243 0
## 244 0
## 245 0
## 246 0
## 247 0
## 248 0
##
## $covariate
## [,1] [,2] [,3] [,4]
## [1,] 26 6 1 2
## [2,] 42 1 1 0
## [3,] 39 6 2 0
## [4,] 34 4 2 0
## [5,] 35 3 1 1
## [6,] 36 4 2 1
## [7,] 23 1 0 0
## [8,] 32 2 0 0
## [9,] 21 1 0 1
## [10,] 28 2 0 0
## [11,] 29 2 1 0
## [12,] 37 4 2 1
## [13,] 31 1 1 0
## [14,] 29 3 2 0
## [15,] 31 2 1 1
## [16,] 27 2 2 0
## [17,] 30 5 2 1
## [18,] 26 1 0 1
## [19,] 25 3 2 1
## [20,] 44 1 0 1
## [21,] 40 1 0 1
## [22,] 35 2 2 0
## [23,] 28 2 0 2
## [24,] 36 1 0 1
## [25,] 27 2 1 1
## [26,] 40 2 0 2
## [27,] 38 2 0 2
## [28,] 34 3 0 2
## [29,] 28 4 1 2
## [30,] 30 4 2 0
## [31,] 32 1 0 1
## [32,] 34 2 1 0
## [33,] 42 1 1 0
## [34,] 32 2 0 2
## [35,] 39 1 1 0
## [36,] 35 2 0 2
## [37,] 36 1 0 1
## [38,] 34 3 1 2
## [39,] 30 3 0 0
## [40,] 28 1 0 1
## [41,] 39 3 0 2
## [42,] 35 1 0 0
## [43,] 41 1 0 0
## [44,] 37 2 1 1
## [45,] 30 1 0 0
## [46,] 37 1 1 0
## [47,] 28 2 0 2
## [48,] 27 4 2 0
## [49,] 26 2 2 0
## [50,] 38 3 0 2
## [51,] 24 3 1 2
## [52,] 36 5 1 2
## [53,] 27 3 1 1
## [54,] 28 1 0 1
## [55,] 29 2 0 2
## [56,] 36 2 0 2
## [57,] 28 2 1 0
## [58,] 28 2 0 2
## [59,] 28 1 0 1
## [60,] 27 2 0 2
## [61,] 35 2 0 2
## [62,] 25 1 0 1
## [63,] 34 1 0 1
## [64,] 31 2 0 2
## [65,] 26 2 1 0
## [66,] 32 1 0 1
## [67,] 21 1 0 1
## [68,] 28 3 1 2
## [69,] 37 3 0 2
## [70,] 25 1 1 0
## [71,] 32 1 1 0
## [72,] 25 1 0 1
## [73,] 31 1 0 1
## [74,] 38 6 0 2
## [75,] 26 2 0 2
## [76,] 31 1 0 1
## [77,] 31 2 0 1
## [78,] 25 1 1 0
## [79,] 31 1 0 1
## [80,] 34 1 0 1
## [81,] 35 2 2 0
## [82,] 29 1 0 1
## [83,] 23 1 0 1
## [84,] 26 6 2 0
## [85,] 42 1 0 0
## [86,] 39 6 2 0
## [87,] 34 4 0 1
## [88,] 35 3 2 0
## [89,] 36 4 1 1
## [90,] 23 1 0 0
## [91,] 32 2 2 0
## [92,] 21 1 0 1
## [93,] 28 2 0 1
## [94,] 29 2 0 0
## [95,] 37 4 1 1
## [96,] 31 1 0 0
## [97,] 29 3 0 1
## [98,] 31 2 1 0
## [99,] 27 2 1 0
## [100,] 30 5 0 2
## [101,] 26 1 0 0
## [102,] 25 3 0 1
## [103,] 44 1 0 0
## [104,] 40 1 0 0
## [105,] 35 2 0 0
## [106,] 28 2 0 0
## [107,] 36 1 0 0
## [108,] 27 2 0 1
## [109,] 40 2 0 0
## [110,] 38 2 0 0
## [111,] 34 3 0 0
## [112,] 28 4 0 2
## [113,] 30 4 1 1
## [114,] 32 1 0 0
## [115,] 34 2 1 0
## [116,] 42 1 1 0
## [117,] 32 2 0 0
## [118,] 39 1 0 0
## [119,] 35 2 0 0
## [120,] 36 1 0 0
## [121,] 34 3 2 0
## [122,] 30 3 0 2
## [123,] 28 1 1 0
## [124,] 39 3 1 0
## [125,] 35 1 0 0
## [126,] 41 1 0 0
## [127,] 37 2 0 0
## [128,] 30 1 1 0
## [129,] 37 1 0 0
## [130,] 28 2 1 0
## [131,] 27 4 2 1
## [132,] 26 2 1 0
## [133,] 38 3 1 0
## [134,] 24 3 2 1
## [135,] 36 5 1 1
## [136,] 27 3 1 1
## [137,] 28 1 1 0
## [138,] 29 2 1 0
## [139,] 36 2 1 0
## [140,] 28 2 1 1
## [141,] 28 2 2 0
## [142,] 28 1 1 0
## [143,] 27 2 1 0
## [144,] 35 2 2 0
## [145,] 25 1 1 0
## [146,] 34 1 0 0
## [147,] 31 2 0 0
## [148,] 26 2 0 1
## [149,] 32 1 0 0
## [150,] 21 1 0 1
## [151,] 28 3 2 0
## [152,] 37 3 1 1
## [153,] 25 1 0 0
## [154,] 32 1 1 0
## [155,] 25 1 0 0
## [156,] 31 1 0 1
## [157,] 26 2 0 2
## [158,] 31 1 0 0
## [159,] 31 2 2 0
## [160,] 25 1 0 0
## [161,] 31 1 0 0
## [162,] 34 1 0 0
## [163,] 35 2 0 0
## [164,] 29 1 0 1
## [165,] 23 1 0 1
## [166,] 26 6 2 0
## [167,] 42 1 0 0
## [168,] 39 6 2 0
## [169,] 34 4 0 2
## [170,] 35 3 0 0
## [171,] 36 4 0 2
## [172,] 23 1 0 0
## [173,] 32 2 0 1
## [174,] 21 1 1 0
## [175,] 28 2 0 1
## [176,] 29 2 0 1
## [177,] 37 4 0 1
## [178,] 31 1 0 0
## [179,] 29 3 0 2
## [180,] 31 2 1 0
## [181,] 27 2 0 0
## [182,] 30 5 1 2
## [183,] 26 1 1 0
## [184,] 25 3 1 1
## [185,] 44 1 1 0
## [186,] 40 1 0 0
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##
## $model.list
## $model.list$response
## [1] "case"
##
## $model.list$variables
## [1] "age" "parity" "induced" "spontaneous"
##
##
## $err.fct
## function (x, y)
## {
## -(y * log(x) + (1 - y) * log(1 - x))
## }
## <bytecode: 0x5620e8c86200>
## <environment: 0x5620e9054558>
## attr(,"type")
## [1] "ce"
##
## $act.fct
## function (x)
## {
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## <environment: 0x5620e9054558>
## attr(,"type")
## [1] "logistic"
##
## $linear.output
## [1] FALSE
##
## $data
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##
##
## $result.matrix
## 1
## error 158.085469457874
## reached.threshold 0.007186944541
## steps 388.000000000000
## Intercept.to.1layhid1 -0.562083423225
## age.to.1layhid1 1.200201680839
## parity.to.1layhid1 -0.899656238196
## induced.to.1layhid1 0.165668507548
## spontaneous.to.1layhid1 0.359232531850
## Intercept.to.1layhid2 -1.124984165883
## age.to.1layhid2 -0.514580539665
## parity.to.1layhid2 0.432066303708
## induced.to.1layhid2 1.137216151228
## spontaneous.to.1layhid2 1.178563491494
## Intercept.to.case -0.309834536465
## 1layhid.1.to.case -0.377142609626
## 1layhid.2.to.case 0.370963517954
##
## attr(,"class")
## [1] "nn"
garson(nn.bp)
library(nnet)
nn.nnet <- nnet(case~age+parity+induced+spontaneous, data=infert, size=2, entropy=T, abstol=0.01)
## # weights: 13
## initial value 169.339098
## iter 10 value 153.736634
## iter 20 value 128.291281
## iter 30 value 125.380948
## iter 40 value 125.231013
## iter 50 value 125.204169
## final value 125.202435
## converged
nn.nnet
## a 4-2-1 network with 13 weights
## inputs: age parity induced spontaneous
## output(s): case
## options were - entropy fitting
garson(nn.nnet)
head(nn$generalized.weights[[1]])
## [,1] [,2] [,3] [,4]
## 1 0.0092454088648 -0.136181222770 0.170777746382 0.26017873326
## 2 0.1534442172832 -2.260172745432 2.834364386285 4.31813483458
## 3 0.0005411800285 -0.007971368164 0.009996475741 0.01522956297
## 4 0.0088875444029 -0.130910020520 0.164167407434 0.25010792690
## 5 0.1062680593893 -1.565286563380 1.962943982287 2.99053178528
## 6 0.1374960760665 -2.025262921155 2.539776266300 3.86933184054
plot(nn)
par(mfrow=c(2,2))
gwplot(nn,selected.covariate="age",min=-2.5, max=5)
gwplot(nn,selected.covariate="parity",min=-2.5, max=5)
gwplot(nn,selected.covariate="induced",min=-2.5, max=5)
gwplot(nn,selected.covariate="spontaneous",min=-2.5, max=5)
test.data <- matrix(c(22,1,0,0,
22,1,1,0,
22,1,0,1,
22,1,1,1),byrow=TRUE, ncol=4)
new.output <- compute(nn,covariate=test.data)
new.output$net.result
## [,1]
## [1,] 0.1503993589
## [2,] 0.1952761481
## [3,] 0.3087220985
## [4,] 0.8525129684
nn.new <- neuralnet(case~parity+induced+spontaneous, data=infert, hidden=2, err.fct="ce", linear.output=FALSE)
plot(nn.new)
garson(nn.new)
ci <- confidence.interval(nn.new, alpha=0.05)
ci$lower.ci
## [[1]]
## [[1]][[1]]
## [,1] [,2]
## [1,] -27.06593046 -0.1176675052
## [2,] -14.79000715 1.3545379273
## [3,] -26.69196681 -7.6077146309
## [4,] -12.44181564 -40.6553380228
##
## [[1]][[2]]
## [,1]
## [1,] -0.1793767717
## [2,] 0.8695283365
## [3,] -3.8197612502