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Data X:
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0 4 132 0 0 0 32.9 0.302 23 1 0 105 90 0 0 29.6 0.197 46 0 0 57 60 0 0 21.7 0.735 67 0 0 127 80 37 210 36.3 0.804 23 0 3 129 92 49 155 36.4 0.968 32 1 8 100 74 40 215 39.4 0.661 43 1 3 128 72 25 190 32.4 0.549 27 1 10 90 85 32 0 34.9 0.825 56 1 4 84 90 23 56 39.5 0.159 25 0 1 88 78 29 76 32 0.365 29 0 8 186 90 35 225 34.5 0.423 37 1 5 187 76 27 207 43.6 1.034 53 1 4 131 68 21 166 33.1 0.16 28 0 1 164 82 43 67 32.8 0.341 50 0 4 189 110 31 0 28.5 0.68 37 0 1 116 70 28 0 27.4 0.204 21 0 3 84 68 30 106 31.9 0.591 25 0 6 114 88 0 0 27.8 0.247 66 0 1 88 62 24 44 29.9 0.422 23 0 1 84 64 23 115 36.9 0.471 28 0 7 124 70 33 215 25.5 0.161 37 0 1 97 70 40 0 38.1 0.218 30 0 8 110 76 0 0 27.8 0.237 58 0 11 103 68 40 0 46.2 0.126 42 0 11 85 74 0 0 30.1 0.3 35 0 6 125 76 0 0 33.8 0.121 54 1 0 198 66 32 274 41.3 0.502 28 1 1 87 68 34 77 37.6 0.401 24 0 6 99 60 19 54 26.9 0.497 32 0 0 91 80 0 0 32.4 0.601 27 0 2 95 54 14 88 26.1 0.748 22 0 1 99 72 30 18 38.6 0.412 21 0 6 92 62 32 126 32 0.085 46 0 4 154 72 29 126 31.3 0.338 37 0 0 121 66 30 165 34.3 0.203 33 1 3 78 70 0 0 32.5 0.27 39 0 2 130 96 0 0 22.6 0.268 21 0 3 111 58 31 44 29.5 0.43 22 0 2 98 60 17 120 34.7 0.198 22 0 1 143 86 30 330 30.1 0.892 23 0 1 119 44 47 63 35.5 0.28 25 0 6 108 44 20 130 24 0.813 35 0 2 118 80 0 0 42.9 0.693 21 1 10 133 68 0 0 27 0.245 36 0 2 197 70 99 0 34.7 0.575 62 1 0 151 90 46 0 42.1 0.371 21 1 6 109 60 27 0 25 0.206 27 0 12 121 78 17 0 26.5 0.259 62 0 8 100 76 0 0 38.7 0.19 42 0 8 124 76 24 600 28.7 0.687 52 1 1 93 56 11 0 22.5 0.417 22 0 8 143 66 0 0 34.9 0.129 41 1 6 103 66 0 0 24.3 0.249 29 0 3 176 86 27 156 33.3 1.154 52 1 0 73 0 0 0 21.1 0.342 25 0 11 111 84 40 0 46.8 0.925 45 1 2 112 78 50 140 39.4 0.175 24 0 3 132 80 0 0 34.4 0.402 44 1 2 82 52 22 115 28.5 1.699 25 0 6 123 72 45 230 33.6 0.733 34 0 0 188 82 14 185 32 0.682 22 1 0 67 76 0 0 45.3 0.194 46 0 1 89 24 19 25 27.8 0.559 21 0 1 173 74 0 0 36.8 0.088 38 1 1 109 38 18 120 23.1 0.407 26 0 1 108 88 19 0 27.1 0.4 24 0 6 96 0 0 0 23.7 0.19 28 0 1 124 74 36 0 27.8 0.1 30 0 7 150 78 29 126 35.2 0.692 54 1 4 183 0 0 0 28.4 0.212 36 1 1 124 60 32 0 35.8 0.514 21 0 1 181 78 42 293 40 1.258 22 1 1 92 62 25 41 19.5 0.482 25 0 0 152 82 39 272 41.5 0.27 27 0 1 111 62 13 182 24 0.138 23 0 3 106 54 21 158 30.9 0.292 24 0 3 174 58 22 194 32.9 0.593 36 1 7 168 88 42 321 38.2 0.787 40 1 6 105 80 28 0 32.5 0.878 26 0 11 138 74 26 144 36.1 0.557 50 1 3 106 72 0 0 25.8 0.207 27 0 6 117 96 0 0 28.7 0.157 30 0 2 68 62 13 15 20.1 0.257 23 0 9 112 82 24 0 28.2 1.282 50 1 0 119 0 0 0 32.4 0.141 24 1 2 112 86 42 160 38.4 0.246 28 0 2 92 76 20 0 24.2 1.698 28 0 6 183 94 0 0 40.8 1.461 45 0 0 94 70 27 115 43.5 0.347 21 0 2 108 64 0 0 30.8 0.158 21 0 4 90 88 47 54 37.7 0.362 29 0 0 125 68 0 0 24.7 0.206 21 0 0 132 78 0 0 32.4 0.393 21 0 5 128 80 0 0 34.6 0.144 45 0 4 94 65 22 0 24.7 0.148 21 0 7 114 64 0 0 27.4 0.732 34 1 0 102 78 40 90 34.5 0.238 24 0 2 111 60 0 0 26.2 0.343 23 0 1 128 82 17 183 27.5 0.115 22 0 10 92 62 0 0 25.9 0.167 31 0 13 104 72 0 0 31.2 0.465 38 1 5 104 74 0 0 28.8 0.153 48 0 2 94 76 18 66 31.6 0.649 23 0 7 97 76 32 91 40.9 0.871 32 1 1 100 74 12 46 19.5 0.149 28 0 0 102 86 17 105 29.3 0.695 27 0 4 128 70 0 0 34.3 0.303 24 0 6 147 80 0 0 29.5 0.178 50 1 4 90 0 0 0 28 0.61 31 0 3 103 72 30 152 27.6 0.73 27 0 2 157 74 35 440 39.4 0.134 30 0 1 167 74 17 144 23.4 0.447 33 1 0 179 50 36 159 37.8 0.455 22 1 11 136 84 35 130 28.3 0.26 42 1 0 107 60 25 0 26.4 0.133 23 0 1 91 54 25 100 25.2 0.234 23 0 1 117 60 23 106 33.8 0.466 27 0 5 123 74 40 77 34.1 0.269 28 0 2 120 54 0 0 26.8 0.455 27 0 1 106 70 28 135 34.2 0.142 22 0 2 155 52 27 540 38.7 0.24 25 1 2 101 58 35 90 21.8 0.155 22 0 1 120 80 48 200 38.9 1.162 41 0 11 127 106 0 0 39 0.19 51 0 3 80 82 31 70 34.2 1.292 27 1 10 162 84 0 0 27.7 0.182 54 0 1 199 76 43 0 42.9 1.394 22 1 8 167 106 46 231 37.6 0.165 43 1 9 145 80 46 130 37.9 0.637 40 1 6 115 60 39 0 33.7 0.245 40 1 1 112 80 45 132 34.8 0.217 24 0 4 145 82 18 0 32.5 0.235 70 1 10 111 70 27 0 27.5 0.141 40 1 6 98 58 33 190 34 0.43 43 0 9 154 78 30 100 30.9 0.164 45 0 6 165 68 26 168 33.6 0.631 49 0 1 99 58 10 0 25.4 0.551 21 0 10 68 106 23 49 35.5 0.285 47 0 3 123 100 35 240 57.3 0.88 22 0 8 91 82 0 0 35.6 0.587 68 0 6 195 70 0 0 30.9 0.328 31 1 9 156 86 0 0 24.8 0.23 53 1 0 93 60 0 0 35.3 0.263 25 0 3 121 52 0 0 36 0.127 25 1 2 101 58 17 265 24.2 0.614 23 0 2 56 56 28 45 24.2 0.332 22 0 0 162 76 36 0 49.6 0.364 26 1 0 95 64 39 105 44.6 0.366 22 0 4 125 80 0 0 32.3 0.536 27 1 5 136 82 0 0 0 0.64 69 0 2 129 74 26 205 33.2 0.591 25 0 3 130 64 0 0 23.1 0.314 22 0 1 107 50 19 0 28.3 0.181 29 0 1 140 74 26 180 24.1 0.828 23 0 1 144 82 46 180 46.1 0.335 46 1 8 107 80 0 0 24.6 0.856 34 0 13 158 114 0 0 42.3 0.257 44 1 2 121 70 32 95 39.1 0.886 23 0 7 129 68 49 125 38.5 0.439 43 1 2 90 60 0 0 23.5 0.191 25 0 7 142 90 24 480 30.4 0.128 43 1 3 169 74 19 125 29.9 0.268 31 1 0 99 0 0 0 25 0.253 22 0 4 127 88 11 155 34.5 0.598 28 0 4 118 70 0 0 44.5 0.904 26 0 2 122 76 27 200 35.9 0.483 26 0 6 125 78 31 0 27.6 0.565 49 1 1 168 88 29 0 35 0.905 52 1 2 129 0 0 0 38.5 0.304 41 0 4 110 76 20 100 28.4 0.118 27 0 6 80 80 36 0 39.8 0.177 28 0 10 115 0 0 0 0 0.261 30 1 2 127 46 21 335 34.4 0.176 22 0 9 164 78 0 0 32.8 0.148 45 1 2 93 64 32 160 38 0.674 23 1 3 158 64 13 387 31.2 0.295 24 0 5 126 78 27 22 29.6 0.439 40 0 10 129 62 36 0 41.2 0.441 38 1 0 134 58 20 291 26.4 0.352 21 0 3 102 74 0 0 29.5 0.121 32 0 7 187 50 33 392 33.9 0.826 34 1 3 173 78 39 185 33.8 0.97 31 1 10 94 72 18 0 23.1 0.595 56 0 1 108 60 46 178 35.5 0.415 24 0 5 97 76 27 0 35.6 0.378 52 1 4 83 86 19 0 29.3 0.317 34 0 1 114 66 36 200 38.1 0.289 21 0 1 149 68 29 127 29.3 0.349 42 1 5 117 86 30 105 39.1 0.251 42 0 1 111 94 0 0 32.8 0.265 45 0 4 112 78 40 0 39.4 0.236 38 0 1 116 78 29 180 36.1 0.496 25 0 0 141 84 26 0 32.4 0.433 22 0 2 175 88 0 0 22.9 0.326 22 0 2 92 52 0 0 30.1 0.141 22 0 3 130 78 23 79 28.4 0.323 34 1 8 120 86 0 0 28.4 0.259 22 1 2 174 88 37 120 44.5 0.646 24 1 2 106 56 27 165 29 0.426 22 0 2 105 75 0 0 23.3 0.56 53 0 4 95 60 32 0 35.4 0.284 28 0 0 126 86 27 120 27.4 0.515 21 0 8 65 72 23 0 32 0.6 42 0 2 99 60 17 160 36.6 0.453 21 0 1 102 74 0 0 39.5 0.293 42 1 11 120 80 37 150 42.3 0.785 48 1 3 102 44 20 94 30.8 0.4 26 0 1 109 58 18 116 28.5 0.219 22 0 9 140 94 0 0 32.7 0.734 45 1 13 153 88 37 140 40.6 1.174 39 0 12 100 84 33 105 30 0.488 46 0 1 147 94 41 0 49.3 0.358 27 1 1 81 74 41 57 46.3 1.096 32 0 3 187 70 22 200 36.4 0.408 36 1 6 162 62 0 0 24.3 0.178 50 1 4 136 70 0 0 31.2 1.182 22 1 1 121 78 39 74 39 0.261 28 0 3 108 62 24 0 26 0.223 25 0 0 181 88 44 510 43.3 0.222 26 1 8 154 78 32 0 32.4 0.443 45 1 1 128 88 39 110 36.5 1.057 37 1 7 137 90 41 0 32 0.391 39 0 0 123 72 0 0 36.3 0.258 52 1 1 106 76 0 0 37.5 0.197 26 0 6 190 92 0 0 35.5 0.278 66 1 2 88 58 26 16 28.4 0.766 22 0 9 170 74 31 0 44 0.403 43 1 9 89 62 0 0 22.5 0.142 33 0 10 101 76 48 180 32.9 0.171 63 0 2 122 70 27 0 36.8 0.34 27 0 5 121 72 23 112 26.2 0.245 30 0 1 126 60 0 0 30.1 0.349 47 1 1 93 70 31 0 30.4 0.315 23 0
Names of X columns:
Pregnancies Glucose BloodPressure SkinThickness Insulin BMI DiabetesPedigreeFunction Age Class

Sample Range: (leave blank to include all observations)
From:
To:

Column Number of Target (?)


kernel (?)


Categorical (c) or Numeric (n) (?)


Repeated CV (?)


Chart options



R Code
.libPaths() library(caret) library(naivebayes) mywarning <- '' par1 <- as.numeric(par1) if(is.na(par1)) { par1 <- 1 mywarning = 'Warning: you did not specify the column number of the target! The first column was selected by default.' } print.naive_bayes <- function (x, ...) { model <- 'Naive Bayes' n_char <- getOption('width') str_left_right <- paste0(rep('=', floor((n_char - nchar(model)) / 2)), collapse = '') str_full <- paste0(str_left_right, ' ', model, ' ', ifelse(n_char %% 2 != 0, '=', ''), str_left_right) len <- nchar(str_full) l <- paste0(rep('-', len), collapse = '') cat('\n') cat(str_full, '\n', '\n', 'Call:', '\n') print(x$call) cat('\n') cat(l, '\n', '\n') cat( 'Laplace smoothing:', x$laplace) cat('\n') cat('\n') cat(l, '\n', '\n') cat(' A priori probabilities:', '\n') print(x$prior) cat('\n') cat(l, '\n', '\n') cat(' Tables:', '\n') tabs <- x$tables n <- length(x$tables) indices <- seq_len(min(25,n)) tabs <- tabs[indices] print(tabs) if (n > 25) { cat('\n\n') cat('# ... and', n - 25, ifelse(n - 25 == 1, 'more table\n\n', 'more tables\n\n')) cat(l) } cat('\n\n') } x <- na.omit(data.frame(t(x))) k <- length(x[1,]) n <- length(x[,1]) x <- as.data.frame(x) for(ii in 1:k) { if(substr(par3,ii,ii) == 'c') x[,ii] <- as.character(x[,ii]) if(substr(par3,ii,ii) == 'n') x[,ii] <- as.numeric(x[,ii]) } myf <- formula(paste(colnames(x)[par1],' ~ .',sep='')) myf nb_grid <- expand.grid(usekernel = c(TRUE, FALSE), laplace = c(0, 0.5, 1, 2, 3, 4), adjust = c(0.75, 1, 1.25, 1.5, 1.75, 2, 2.25, 2.5)) fitControl <- trainControl(method = 'repeatedcv', number = 10, repeats = 5) if(par4=='no') { naive_bayes_via_caret <- train(myf, data = x, method = 'naive_bayes', kernel = par2, bw = 'SJ', usepoisson = TRUE, tuneGrid = nb_grid) } if(par4=='yes') { naive_bayes_via_caret <- train(myf, data = x, method = 'naive_bayes', kernel = par2, bw = 'SJ', usepoisson = TRUE, tuneGrid = nb_grid, trControl = fitControl) } load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Naive Bayes Classifier',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('naive_bayes_via_caret$results'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('naive_bayes_via_caret$finalModel$tuneValue'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('print.naive_bayes(naive_bayes_via_caret$finalModel)'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) z <- cbind(x, predict(naive_bayes_via_caret$finalModel, x, type = 'prob')) a<-table.element(a,paste('<pre>',RC.texteval('z'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	Big Analytics Cloud Computing Center