SVM(3)
19650003-Nurmilasari
2022-12-17
url <- "http://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data"
download.file(url, 'wdbc.csv')columnNames <- c("id","diagnosis","radius_mean","texture_mean","perimeter_mean",
"area_mean","smoothness_mean","compactness_mean","concavity_mean",
"concave_points_mean","symmetry_mean","fractal_dimension_mean",
"radius_se","texture_se","perimeter_se","area_se","smoothness_se",
"compactness_se","concavity_se","concave_points_se","symmetry_se",
"fractal_dimension_se","radius_worst","texture_worst","perimeter_worst",
"area_worst","smoothness_worst","compactness_worst","concavity_worst",
"concave_points_worst","symmetry_worst","fractal_dimension_worst")
#wdbc <- read_csv(url, col_names = columnNames, col_types = NULL)
wdbc <- read.csv('wdbc.csv', header = FALSE, col.names = columnNames)# Create diagnosis vector
wdbc$diagnosis <- as.numeric(wdbc$diagnosis == "M")library(corrplot)## Warning: package 'corrplot' was built under R version 4.2.2## corrplot 0.92 loadedlibrary(dplyr)## Warning: package 'dplyr' was built under R version 4.2.2##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionwdbc.data <- wdbc[,c(3:32)]
correlationMatrix <- cor(wdbc.data)
corrplot(correlationMatrix, order = "hclust", tl.cex = 1, addrect = 8)
ncol(wdbc.data)## [1] 30nrow(wdbc.data)## [1] 569library(corrplot)
library(dplyr)
library(caret)## Warning: package 'caret' was built under R version 4.2.2## Loading required package: ggplot2## Warning: package 'ggplot2' was built under R version 4.2.2## Loading required package: lattice# Find attributes that are highly corrected (ideally >0.90)
highlyCorrelated <- findCorrelation(correlationMatrix, cutoff=0.9)
# Remove correlated variables
wdbc.data[,highlyCorrelated]## concavity_mean concave_points_mean perimeter_worst radius_worst
## 1 0.3001000 0.147100 184.60 25.380
## 2 0.0869000 0.070170 158.80 24.990
## 3 0.1974000 0.127900 152.50 23.570
## 4 0.2414000 0.105200 98.87 14.910
## 5 0.1980000 0.104300 152.20 22.540
## 6 0.1578000 0.080890 103.40 15.470
## 7 0.1127000 0.074000 153.20 22.880
## 8 0.0936600 0.059850 110.60 17.060
## 9 0.1859000 0.093530 106.20 15.490
## 10 0.2273000 0.085430 97.65 15.090
## 11 0.0329900 0.033230 123.80 19.190
## 12 0.0995400 0.066060 136.50 20.420
## 13 0.2065000 0.111800 151.70 20.960
## 14 0.0993800 0.053640 112.00 16.840
## 15 0.2128000 0.080250 108.80 15.030
## 16 0.1639000 0.073640 124.10 17.460
## 17 0.0739500 0.052590 123.40 19.070
## 18 0.1722000 0.102800 136.80 20.960
## 19 0.1479000 0.094980 186.80 27.320
## 20 0.0666400 0.047810 99.70 15.110
## 21 0.0456800 0.031100 96.09 14.500
## 22 0.0295600 0.020760 65.13 10.230
## 23 0.2077000 0.097560 125.10 18.070
## 24 0.1097000 0.086320 188.00 29.170
## 25 0.1525000 0.091700 177.00 26.460
## 26 0.2229000 0.140100 152.40 22.250
## 27 0.1425000 0.087830 122.40 17.620
## 28 0.1490000 0.077310 139.90 21.310
## 29 0.1683000 0.087510 149.30 20.270
## 30 0.0987500 0.079530 134.90 20.010
## 31 0.2319000 0.124400 160.50 23.150
## 32 0.1218000 0.051820 119.40 16.820
## 33 0.2417000 0.120300 136.10 20.880
## 34 0.1657000 0.075930 161.40 24.150
## 35 0.1354000 0.077520 132.70 20.210
## 36 0.1348000 0.060180 133.50 20.010
## 37 0.1319000 0.055980 116.20 15.890
## 38 0.0256200 0.029230 84.46 13.300
## 39 0.0239800 0.028990 95.54 14.990
## 40 0.1063000 0.054390 107.30 15.530
## 41 0.0311000 0.020310 102.50 15.930
## 42 0.1044000 0.056690 87.22 12.840
## 43 0.2107000 0.099610 177.40 24.090
## 44 0.0984700 0.061580 113.10 17.380
## 45 0.0825900 0.052520 105.50 16.230
## 46 0.1974000 0.100900 150.60 22.820
## 47 0.0158800 0.005917 57.26 8.964
## 48 0.1226000 0.073400 102.80 15.670
## 49 0.0659200 0.027490 89.88 13.760
## 50 0.0475100 0.033840 99.00 15.150
## 51 0.0165700 0.011150 82.98 12.980
## 52 0.0185700 0.017230 96.08 14.670
## 53 0.0197200 0.013490 83.67 13.100
## 54 0.1772000 0.106000 135.10 20.600
## 55 0.0525300 0.033340 117.70 18.100
## 56 0.0303600 0.022780 81.81 12.840
## 57 0.1323000 0.089940 170.10 26.140
## 58 0.1293000 0.081230 115.70 17.870
## 59 0.0006920 0.004167 90.24 14.230
## 60 0.0206100 0.007799 59.90 9.507
## 61 0.0108400 0.012900 69.86 11.020
## 62 0.0300000 0.009259 62.06 9.565
## 63 0.2135000 0.086530 119.10 17.670
## 64 0.0598800 0.021800 65.59 10.010
## 65 0.1128000 0.068730 111.80 17.090
## 66 0.1267000 0.090290 114.60 17.310
## 67 0.0217200 0.015040 67.03 10.410
## 68 0.0370900 0.022300 78.00 12.330
## 69 0.3130000 0.043750 65.50 10.310
## 70 0.0365300 0.028640 85.67 13.460
## 71 0.1080000 0.079510 165.90 24.860
## 72 0.0860600 0.028720 62.56 9.733
## 73 0.1692000 0.079440 151.60 23.320
## 74 0.0778900 0.050690 110.30 16.570
## 75 0.0337200 0.022720 89.71 14.110
## 76 0.0976900 0.066380 128.80 19.770
## 77 0.0687700 0.065560 91.36 14.080
## 78 0.1684000 0.108000 150.10 22.390
## 79 0.3754000 0.160400 170.30 23.370
## 80 0.0388900 0.023150 91.88 14.240
## 81 0.0459100 0.022330 84.53 13.110
## 82 0.1169000 0.069870 96.66 15.530
## 83 0.3339000 0.184500 211.70 30.000
## 84 0.1937000 0.146900 141.30 20.330
## 85 0.0415100 0.018630 87.78 13.670
## 86 0.1335000 0.087950 152.20 22.930
## 87 0.1204000 0.049380 108.40 16.210
## 88 0.1468000 0.082710 152.90 24.560
## 89 0.0601500 0.037450 91.46 13.830
## 90 0.0996600 0.070640 109.40 16.340
## 91 0.0310200 0.029570 102.90 16.110
## 92 0.1122000 0.074830 107.50 16.430
## 93 0.0326100 0.026480 104.50 16.360
## 94 0.0397400 0.027800 97.59 15.100
## 95 0.1700000 0.088150 123.50 18.230
## 96 0.1465000 0.086830 156.10 24.220
## 97 0.0249000 0.029410 82.14 12.830
## 98 0.0068290 0.007937 68.81 10.920
## 99 0.0419600 0.033500 82.96 13.060
## 100 0.0938800 0.058390 109.50 16.330
## 101 0.0862500 0.044890 108.60 16.990
## 102 0.0000000 0.000000 50.41 7.930
## 103 0.0238300 0.017700 84.58 13.340
## 104 0.0615400 0.030290 72.22 10.760
## 105 0.0299500 0.012010 74.22 11.540
## 106 0.2071000 0.096010 106.40 16.310
## 107 0.0707000 0.034850 85.51 13.140
## 108 0.0264300 0.019210 85.56 13.290
## 109 0.4264000 0.182300 206.80 28.400
## 110 0.0513300 0.018990 83.99 13.010
## 111 0.0433400 0.017780 71.68 11.050
## 112 0.1065000 0.060210 89.00 13.330
## 113 0.3003000 0.077980 107.00 15.300
## 114 0.0647600 0.030680 72.62 11.160
## 115 0.0413200 0.019240 64.48 9.628
## 116 0.0332800 0.020080 87.54 13.670
## 117 0.0926300 0.023080 63.34 9.414
## 118 0.1690000 0.089230 127.10 18.810
## 119 0.2133000 0.094790 130.30 20.190
## 120 0.0729300 0.055960 129.20 20.580
## 121 0.0351200 0.026230 83.74 12.820
## 122 0.1457000 0.086650 145.40 22.250
## 123 0.4268000 0.201200 180.90 26.020
## 124 0.0884200 0.057780 102.80 15.700
## 125 0.0809200 0.028000 91.99 14.260
## 126 0.0142000 0.011410 100.30 15.490
## 127 0.0528500 0.030850 113.20 16.890
## 128 0.0927100 0.056270 148.20 22.320
## 129 0.1138000 0.085340 105.90 16.110
## 130 0.2545000 0.114900 148.70 22.630
## 131 0.0285500 0.028820 91.38 13.340
## 132 0.1466000 0.080870 124.90 19.260
## 133 0.1043000 0.056130 129.70 19.470
## 134 0.0713500 0.059330 114.30 17.500
## 135 0.1153000 0.068470 145.60 22.520
## 136 0.0471100 0.027040 92.04 14.490
## 137 0.0359200 0.026000 86.16 13.330
## 138 0.0350300 0.028750 79.93 12.320
## 139 0.1539000 0.086240 121.40 18.550
## 140 0.0463500 0.047960 76.53 11.920
## 141 0.0000000 0.000000 66.53 10.620
## 142 0.0944700 0.059430 129.00 19.920
## 143 0.0203100 0.018610 82.66 12.780
## 144 0.0489400 0.030880 97.17 14.480
## 145 0.0225100 0.007875 77.79 11.950
## 146 0.0371000 0.030030 86.26 13.150
## 147 0.1659000 0.074150 91.93 13.740
## 148 0.0905000 0.035620 107.10 16.250
## 149 0.0848700 0.055320 108.60 15.850
## 150 0.0288100 0.013290 97.19 15.340
## 151 0.0313600 0.026450 90.82 14.160
## 152 0.1321000 0.021680 58.08 9.092
## 153 0.4108000 0.078570 71.04 11.020
## 154 0.0198200 0.017860 76.25 11.990
## 155 0.0929300 0.034830 97.67 14.770
## 156 0.0388500 0.023310 86.60 13.590
## 157 0.1855000 0.105400 132.90 20.470
## 158 0.0515000 0.027710 120.30 18.220
## 159 0.0197200 0.019630 84.08 13.140
## 160 0.0030900 0.006588 78.07 12.360
## 161 0.0684300 0.037380 88.91 13.320
## 162 0.1193000 0.096670 146.60 22.030
## 163 0.2508000 0.128600 174.90 26.730
## 164 0.0537000 0.028220 87.36 13.580
## 165 0.1324000 0.097020 184.20 28.010
## 166 0.0194700 0.019390 102.30 15.980
## 167 0.0253100 0.016980 73.66 11.600
## 168 0.0842200 0.065760 130.70 20.050
## 169 0.2159000 0.104300 155.30 23.140
## 170 0.0260200 0.037810 104.60 16.110
## 171 0.0398700 0.037000 86.97 13.500
## 172 0.0585800 0.034380 116.60 17.980
## 173 0.2032000 0.109700 125.00 18.790
## 174 0.0236300 0.025830 72.01 11.350
## 175 0.0000000 0.000000 73.20 11.540
## 176 0.0000000 0.000000 58.36 9.262
## 177 0.1307000 0.037160 73.07 11.260
## 178 0.1793000 0.088660 123.50 17.790
## 179 0.0015950 0.001852 88.18 14.000
## 180 0.0091930 0.013300 86.70 13.630
## 181 0.2871000 0.187800 220.80 33.120
## 182 0.2487000 0.149600 176.50 26.680
## 183 0.0659300 0.051890 129.30 20.110
## 184 0.0618100 0.023610 79.12 12.370
## 185 0.0537500 0.032630 113.80 17.800
## 186 0.0015970 0.002404 75.39 11.870
## 187 0.0816900 0.058140 139.20 21.310
## 188 0.0380900 0.032390 84.42 13.010
## 189 0.0235300 0.015530 79.57 12.570
## 190 0.0384400 0.016540 86.65 13.350
## 191 0.1981000 0.066180 106.40 15.740
## 192 0.0311200 0.028640 89.04 13.750
## 193 0.0000000 0.000000 62.25 9.968
## 194 0.1085000 0.045620 101.70 15.650
## 195 0.1697000 0.088780 118.60 16.080
## 196 0.0387300 0.023770 90.81 13.880
## 197 0.1385000 0.065260 111.60 16.390
## 198 0.1103000 0.057780 129.10 19.760
## 199 0.1114000 0.067720 166.40 23.360
## 200 0.1180000 0.059800 117.90 18.330
## 201 0.0418700 0.041070 92.15 14.440
## 202 0.1036000 0.074880 139.50 20.420
## 203 0.3523000 0.162000 177.00 25.120
## 204 0.1558000 0.091760 128.50 19.200
## 205 0.0800500 0.038210 96.05 14.970
## 206 0.0755000 0.040790 117.70 17.770
## 207 0.0175600 0.019520 67.08 10.420
## 208 0.0695000 0.053900 130.00 19.800
## 209 0.0870500 0.051020 99.48 14.550
## 210 0.0589200 0.031570 113.70 17.380
## 211 0.1640000 0.095610 158.30 23.240
## 212 0.0266900 0.013930 85.22 13.300
## 213 0.3201000 0.159500 188.50 28.110
## 214 0.1682000 0.065970 120.40 18.070
## 215 0.1115000 0.064620 115.00 16.860
## 216 0.0990100 0.056020 104.40 15.750
## 217 0.0663600 0.031420 86.20 13.250
## 218 0.0577400 0.010710 75.40 11.480
## 219 0.1272000 0.086910 170.30 25.730
## 220 0.1145000 0.066370 180.20 27.900
## 221 0.0388800 0.025630 99.71 15.340
## 222 0.0786000 0.044510 101.10 14.980
## 223 0.0176800 0.019150 71.94 11.170
## 224 0.1147000 0.064620 125.90 19.560
## 225 0.0355400 0.024560 98.84 15.140
## 226 0.0572400 0.046030 110.40 16.770
## 227 0.0066430 0.012160 73.47 11.520
## 228 0.0650500 0.037800 114.20 16.410
## 229 0.0543800 0.020360 90.67 14.200
## 230 0.1695000 0.068610 105.30 15.200
## 231 0.1910000 0.109000 133.50 19.590
## 232 0.0163300 0.003125 79.82 12.080
## 233 0.0049670 0.006434 78.44 12.360
## 234 0.1554000 0.083400 162.70 24.470
## 235 0.0165200 0.016670 65.74 10.510
## 236 0.0146200 0.018960 98.27 15.330
## 237 0.1950000 0.123700 206.00 31.010
## 238 0.0904200 0.060220 161.70 24.220
## 239 0.1103000 0.044080 102.50 15.750
## 240 0.1417000 0.088110 141.20 22.510
## 241 0.0470500 0.037310 94.11 14.850
## 242 0.0105300 0.011080 83.85 13.200
## 243 0.1548000 0.028540 87.16 12.580
## 244 0.0469700 0.023440 98.00 15.010
## 245 0.2049000 0.088860 144.90 21.650
## 246 0.0483100 0.030700 73.68 11.480
## 247 0.0433600 0.011050 88.28 13.940
## 248 0.1374000 0.039800 105.00 14.390
## 249 0.0237900 0.016150 77.98 12.250
## 250 0.0432800 0.029290 80.88 12.650
## 251 0.2712000 0.131000 165.30 25.580
## 252 0.0263800 0.020690 83.12 12.970
## 253 0.2417000 0.097400 159.80 25.280
## 254 0.1266000 0.083530 130.90 19.850
## 255 0.1379000 0.085910 163.10 25.700
## 256 0.0978900 0.052460 108.10 16.390
## 257 0.1784000 0.114400 178.60 25.050
## 258 0.2448000 0.124200 119.80 17.730
## 259 0.3176000 0.137700 143.70 19.850
## 260 0.1751000 0.083990 126.30 18.490
## 261 0.1519000 0.093330 162.30 24.330
## 262 0.0289100 0.028370 128.20 19.850
## 263 0.0969700 0.075070 137.90 20.390
## 264 0.0420900 0.028470 115.90 17.910
## 265 0.0906100 0.065270 140.50 21.580
## 266 0.1367000 0.086460 214.00 32.490
## 267 0.0638700 0.026420 78.28 11.880
## 268 0.0407200 0.021420 97.66 14.800
## 269 0.0390000 0.016150 89.27 13.900
## 270 0.0844800 0.028670 76.51 11.690
## 271 0.0072500 0.006250 94.44 14.910
## 272 0.0326500 0.027550 78.27 12.320
## 273 0.2195000 0.108800 195.90 28.190
## 274 0.0110300 0.014070 68.09 10.750
## 275 0.0569900 0.047440 135.10 20.920
## 276 0.0592900 0.074040 79.46 12.400
## 277 0.0014870 0.003333 77.37 12.200
## 278 0.0802000 0.058430 129.00 19.960
## 279 0.0199700 0.012380 98.91 15.500
## 280 0.0447900 0.037110 98.37 14.980
## 281 0.1921000 0.096640 159.80 23.720
## 282 0.0224500 0.027630 84.70 13.310
## 283 0.1626000 0.094640 152.40 23.790
## 284 0.1948000 0.090520 126.90 18.550
## 285 0.1115000 0.033900 92.12 13.900
## 286 0.0018600 0.002924 85.56 13.500
## 287 0.0657400 0.037910 92.20 13.240
## 288 0.0226000 0.011710 87.40 13.620
## 289 0.0927400 0.055880 78.27 11.860
## 290 0.0239900 0.021730 79.29 12.360
## 291 0.1362000 0.066020 101.70 15.770
## 292 0.0594000 0.048190 109.10 16.250
## 293 0.0615500 0.033700 88.81 13.740
## 294 0.0268800 0.022800 84.35 13.060
## 295 0.0128800 0.019240 88.54 13.500
## 296 0.0106300 0.019170 94.17 14.670
## 297 0.0123600 0.013690 72.42 11.370
## 298 0.0268500 0.035150 85.10 13.360
## 299 0.0247500 0.013740 105.80 16.220
## 300 0.0249500 0.018750 70.10 10.930
## 301 0.2197000 0.106200 171.10 25.930
## 302 0.0683000 0.030990 88.13 13.460
## 303 0.2283000 0.128000 158.80 23.680
## 304 0.0229700 0.017800 70.76 11.060
## 305 0.0334400 0.015020 82.69 12.680
## 306 0.0197400 0.013130 81.39 12.440
## 307 0.0014610 0.003261 92.00 14.410
## 308 0.0036810 0.003472 60.90 9.699
## 309 0.0027580 0.004419 95.48 14.970
## 310 0.0045590 0.008829 93.96 14.730
## 311 0.0158300 0.011480 80.92 12.610
## 312 0.0144700 0.018770 103.70 16.460
## 313 0.0405200 0.025480 92.04 14.190
## 314 0.0136700 0.008907 81.23 12.340
## 315 0.0000000 0.000000 56.65 8.952
## 316 0.0044730 0.006423 84.48 13.340
## 317 0.0112300 0.005051 81.60 12.850
## 318 0.1130000 0.079500 140.90 21.840
## 319 0.1975000 0.049080 68.62 10.060
## 320 0.0134200 0.016990 81.76 12.900
## 321 0.0672600 0.039650 71.53 11.280
## 322 0.1155000 0.077260 150.20 23.060
## 323 0.0380000 0.034000 92.80 14.040
## 324 0.2565000 0.150400 171.10 25.300
## 325 0.0199400 0.016920 91.11 13.750
## 326 0.0319300 0.021070 88.70 13.710
## 327 0.0176500 0.027330 98.40 15.530
## 328 0.0015460 0.005592 82.74 13.070
## 329 0.1478000 0.084880 129.80 19.280
## 330 0.1799000 0.079810 113.70 17.730
## 331 0.1204000 0.070410 124.30 18.760
## 332 0.0710700 0.029500 99.21 14.420
## 333 0.0050060 0.007583 76.91 11.980
## 334 0.0009737 0.002941 82.08 12.760
## 335 0.0077560 0.008535 84.53 13.350
## 336 0.1508000 0.099340 143.20 20.990
## 337 0.0373800 0.020980 87.38 13.720
## 338 0.1060000 0.060900 161.10 24.540
## 339 0.0251100 0.017750 71.98 11.160
## 340 0.2308000 0.141000 202.40 30.670
## 341 0.0800700 0.042230 111.40 16.670
## 342 0.0842200 0.022920 71.25 10.750
## 343 0.0539700 0.033410 79.76 11.920
## 344 0.1863000 0.110300 157.60 22.750
## 345 0.0400600 0.032500 84.16 13.060
## 346 0.0358100 0.020370 70.89 10.880
## 347 0.0075100 0.008488 86.54 13.640
## 348 0.0460800 0.035280 114.20 17.270
## 349 0.0258700 0.023220 79.67 12.510
## 350 0.0117100 0.017870 83.09 12.810
## 351 0.0083060 0.011620 83.61 13.280
## 352 0.2914000 0.124200 119.40 17.360
## 353 0.3368000 0.191300 229.30 33.130
## 354 0.1235000 0.065530 121.20 18.510
## 355 0.0450500 0.014710 79.62 12.120
## 356 0.1030000 0.043910 89.02 13.370
## 357 0.0960300 0.056030 94.22 14.190
## 358 0.0150200 0.020880 96.74 15.110
## 359 0.0472100 0.023810 65.27 9.981
## 360 0.0271000 0.014060 75.79 12.020
## 361 0.0011940 0.005449 86.82 13.720
## 362 0.0334400 0.024240 92.94 14.200
## 363 0.0268800 0.017810 87.82 13.750
## 364 0.0586200 0.048350 117.20 18.130
## 365 0.0218100 0.014730 93.76 14.730
## 366 0.0979900 0.077850 161.20 24.310
## 367 0.1641000 0.126500 160.00 24.190
## 368 0.0439200 0.020270 93.85 14.290
## 369 0.1168000 0.084650 199.50 30.750
## 370 0.2448000 0.150100 195.00 27.660
## 371 0.1811000 0.087730 129.30 19.380
## 372 0.0339300 0.026570 104.50 16.200
## 373 0.1932000 0.125500 152.10 22.690
## 374 0.1527000 0.089410 166.80 25.370
## 375 0.0255600 0.020310 99.16 14.840
## 376 0.0665100 0.053970 113.10 16.970
## 377 0.2280000 0.059410 76.51 10.850
## 378 0.0127100 0.011170 97.11 14.690
## 379 0.0424900 0.024710 97.96 14.540
## 380 0.1689000 0.063670 91.76 13.240
## 381 0.0790000 0.055500 84.93 12.840
## 382 0.0354600 0.020740 79.73 12.090
## 383 0.0794300 0.029780 87.36 12.570
## 384 0.0589200 0.028800 95.23 14.180
## 385 0.0507700 0.028640 96.59 14.240
## 386 0.0839000 0.052710 102.20 15.790
## 387 0.0683900 0.025340 87.65 13.130
## 388 0.0204500 0.008507 99.66 15.510
## 389 0.1007000 0.027570 79.73 12.040
## 390 0.1856000 0.102100 142.00 20.820
## 391 0.0192300 0.019680 73.23 11.380
## 392 0.0000000 0.000000 64.01 10.170
## 393 0.1891000 0.091130 142.10 21.200
## 394 0.2810000 0.156200 172.00 26.230
## 395 0.0478300 0.033260 88.33 13.560
## 396 0.0268100 0.032510 96.42 14.920
## 397 0.0858000 0.053810 97.33 14.800
## 398 0.0739000 0.040830 90.72 13.740
## 399 0.0271200 0.007246 80.79 12.680
## 400 0.0285300 0.016380 86.00 13.450
## 401 0.3189000 0.119800 149.60 20.800
## 402 0.0260600 0.017960 87.64 13.800
## 403 0.0405700 0.018830 96.31 14.130
## 404 0.0329600 0.023900 89.69 13.860
## 405 0.0210900 0.020540 84.11 13.180
## 406 0.0494400 0.029320 82.76 12.400
## 407 0.0550000 0.045280 115.90 17.710
## 408 0.0612600 0.018670 91.63 14.400
## 409 0.1201000 0.088240 138.10 21.080
## 410 0.0321100 0.026530 89.00 14.100
## 411 0.0278300 0.021000 85.07 13.050
## 412 0.0304600 0.024800 79.93 12.410
## 413 0.0373500 0.005128 66.61 9.965
## 414 0.0685900 0.038760 110.20 16.760
## 415 0.0468600 0.027390 110.10 17.260
## 416 0.0255500 0.021790 85.09 13.050
## 417 0.0204700 0.012570 68.73 10.850
## 418 0.1522000 0.084810 157.10 23.170
## 419 0.0236000 0.024020 88.12 13.650
## 420 0.0089550 0.010760 79.26 12.360
## 421 0.0548500 0.014280 86.43 13.070
## 422 0.1450000 0.063000 114.10 16.460
## 423 0.0709700 0.044970 81.93 12.640
## 424 0.0965700 0.048120 101.40 15.140
## 425 0.0089340 0.019670 71.79 11.210
## 426 0.0024700 0.005159 69.92 11.110
## 427 0.0633500 0.022180 81.41 12.130
## 428 0.0361400 0.014040 83.69 12.760
## 429 0.0136900 0.013700 74.35 11.680
## 430 0.0140200 0.018350 88.87 13.820
## 431 0.2733000 0.097110 125.40 16.350
## 432 0.0774100 0.027990 89.61 12.880
## 433 0.2133000 0.125900 146.00 22.030
## 434 0.1594000 0.087440 145.30 22.660
## 435 0.0334600 0.028770 102.30 16.310
## 436 0.1126000 0.064630 113.90 17.040
## 437 0.0179700 0.020900 95.14 14.450
## 438 0.0353400 0.029440 101.20 15.660
## 439 0.0134200 0.022930 100.90 15.630
## 440 0.0208700 0.026520 96.53 14.910
## 441 0.0945700 0.036130 90.14 12.360
## 442 0.1204000 0.057360 132.80 20.380
## 443 0.0105500 0.009937 97.90 15.270
## 444 0.0199300 0.011110 69.35 10.940
## 445 0.1090000 0.062540 133.30 20.380
## 446 0.0544100 0.042740 84.48 12.980
## 447 0.1698000 0.082930 145.40 21.530
## 448 0.0406900 0.022600 105.90 16.430
## 449 0.0881700 0.029250 108.10 16.300
## 450 0.1572000 0.115500 168.20 25.680
## 451 0.0877700 0.023860 83.51 12.790
## 452 0.1655000 0.090630 139.80 21.440
## 453 0.0405500 0.019450 85.07 13.090
## 454 0.0689500 0.064950 103.10 15.800
## 455 0.0296600 0.022720 91.62 14.340
## 456 0.0281900 0.032640 96.69 15.050
## 457 0.0716000 0.020170 86.04 13.120
## 458 0.0277200 0.020680 91.29 14.350
## 459 0.0120600 0.017620 91.06 14.340
## 460 0.0154100 0.010430 68.03 10.670
## 461 0.1007000 0.064310 152.10 22.960
## 462 0.3635000 0.168900 251.20 36.040
## 463 0.0347600 0.017370 100.40 15.400
## 464 0.0336700 0.017770 82.68 12.770
## 465 0.0485900 0.028700 95.10 14.900
## 466 0.1010000 0.028330 115.00 15.440
## 467 0.1085000 0.035100 100.90 14.800
## 468 0.0147900 0.005769 71.11 11.150
## 469 0.2136000 0.100200 143.60 21.570
## 470 0.1020000 0.055640 88.14 13.360
## 471 0.0294800 0.015140 70.88 11.140
## 472 0.0236700 0.023770 87.24 13.600
## 473 0.0553900 0.032210 112.00 17.180
## 474 0.0000000 0.000000 85.08 13.450
## 475 0.0511500 0.015710 80.78 11.940
## 476 0.0583500 0.030780 93.22 14.090
## 477 0.0506300 0.030580 112.10 16.450
## 478 0.0222400 0.013390 101.20 15.140
## 479 0.0530800 0.019690 82.04 12.400
## 480 0.2236000 0.091940 122.10 17.390
## 481 0.0291600 0.015270 88.83 13.340
## 482 0.0299500 0.020700 104.40 16.410
## 483 0.0578600 0.052660 94.94 14.830
## 484 0.0454800 0.031600 95.78 14.960
## 485 0.1191000 0.062110 112.50 17.010
## 486 0.1544000 0.048460 97.82 13.780
## 487 0.0519200 0.027910 106.00 16.460
## 488 0.2256000 0.119400 153.90 23.960
## 489 0.0427900 0.031320 86.57 13.320
## 490 0.0364900 0.023070 127.30 19.180
## 491 0.0171400 0.012610 92.74 14.170
## 492 0.0444500 0.041780 127.10 19.820
## 493 0.1170000 0.077620 143.40 21.530
## 494 0.0071730 0.011490 83.24 13.190
## 495 0.0180000 0.012560 95.29 14.500
## 496 0.0682400 0.049510 103.90 16.010
## 497 0.0801700 0.050740 95.29 14.380
## 498 0.0360900 0.023690 92.82 14.060
## 499 0.1491000 0.091830 146.40 22.750
## 500 0.2188000 0.112100 163.20 23.860
## 501 0.0772100 0.061420 109.70 16.760
## 502 0.1357000 0.067590 106.00 16.010
## 503 0.0592800 0.032790 86.67 13.570
## 504 0.1676000 0.100300 211.50 30.790
## 505 0.0973000 0.052520 69.05 10.280
## 506 0.1188000 0.070380 69.47 10.600
## 507 0.0817500 0.021660 85.13 13.160
## 508 0.0406300 0.042680 76.08 11.690
## 509 0.0552600 0.045630 109.80 17.320
## 510 0.2030000 0.085200 117.70 17.110
## 511 0.0672600 0.026390 81.25 12.450
## 512 0.0341600 0.025410 101.70 15.610
## 513 0.1445000 0.081720 113.30 16.410
## 514 0.0822200 0.043490 108.50 16.760
## 515 0.0748600 0.043350 113.80 17.580
## 516 0.0430200 0.025940 79.15 12.470
## 517 0.1569000 0.094510 142.20 21.860
## 518 0.1411000 0.094310 160.50 23.730
## 519 0.0482500 0.053030 99.31 15.050
## 520 0.0388000 0.029950 93.63 14.450
## 521 0.0333200 0.024210 67.84 10.570
## 522 0.2310000 0.147100 205.70 29.920
## 523 0.0050670 0.005664 76.38 11.930
## 524 0.0538500 0.037830 99.43 15.110
## 525 0.0233000 0.024160 74.32 11.240
## 526 0.0256500 0.015100 63.30 9.473
## 527 0.0420100 0.031520 101.90 15.350
## 528 0.0295800 0.026470 87.22 13.610
## 529 0.1010000 0.066150 94.52 14.620
## 530 0.0378100 0.027980 86.92 13.450
## 531 0.0528200 0.044400 88.52 13.500
## 532 0.0420000 0.021570 87.00 13.350
## 533 0.0175200 0.018800 101.60 15.850
## 534 0.1523000 0.101500 152.00 23.230
## 535 0.0526300 0.027880 76.43 11.620
## 536 0.2085000 0.132200 160.20 24.300
## 537 0.1463000 0.061390 104.30 15.290
## 538 0.0451500 0.045310 86.12 12.980
## 539 0.0000000 0.000000 57.17 9.077
## 540 0.0925200 0.013640 54.49 8.678
## 541 0.0673700 0.025940 78.78 12.260
## 542 0.1009000 0.038900 113.50 16.220
## 543 0.0410500 0.030270 107.40 16.510
## 544 0.0298700 0.032750 92.48 14.370
## 545 0.0368800 0.023690 99.17 15.050
## 546 0.0297400 0.024430 97.58 15.350
## 547 0.0101200 0.005495 71.12 11.250
## 548 0.0435800 0.024380 71.08 10.830
## 549 0.0233700 0.009615 69.10 10.930
## 550 0.0154800 0.008160 83.90 13.030
## 551 0.0000000 0.000000 74.08 11.660
## 552 0.0482400 0.022570 77.80 12.020
## 553 0.0199700 0.014990 88.10 13.870
## 554 0.0399600 0.012820 62.86 9.845
## 555 0.0619500 0.023430 88.84 13.890
## 556 0.0599900 0.027380 69.57 10.840
## 557 0.0050250 0.011160 67.88 10.650
## 558 0.0000000 0.000000 66.50 10.490
## 559 0.1029000 0.037360 105.90 15.480
## 560 0.1112000 0.041050 82.28 12.480
## 561 0.0446200 0.043040 100.20 15.300
## 562 0.0000000 0.000000 75.19 11.920
## 563 0.2550000 0.094290 128.70 17.520
## 564 0.3174000 0.147400 179.10 24.290
## 565 0.2439000 0.138900 166.10 25.450
## 566 0.1440000 0.097910 155.00 23.690
## 567 0.0925100 0.053020 126.70 18.980
## 568 0.3514000 0.152000 184.60 25.740
## 569 0.0000000 0.000000 59.16 9.456
## perimeter_mean area_worst radius_mean perimeter_se area_se texture_mean
## 1 122.80 2019.0 17.990 8.5890 153.400 10.38
## 2 132.90 1956.0 20.570 3.3980 74.080 17.77
## 3 130.00 1709.0 19.690 4.5850 94.030 21.25
## 4 77.58 567.7 11.420 3.4450 27.230 20.38
## 5 135.10 1575.0 20.290 5.4380 94.440 14.34
## 6 82.57 741.6 12.450 2.2170 27.190 15.70
## 7 119.60 1606.0 18.250 3.1800 53.910 19.98
## 8 90.20 897.0 13.710 3.8560 50.960 20.83
## 9 87.50 739.3 13.000 2.4060 24.320 21.82
## 10 83.97 711.4 12.460 2.0390 23.940 24.04
## 11 102.70 1150.0 16.020 2.4660 40.510 23.24
## 12 103.60 1299.0 15.780 3.5640 54.160 17.89
## 13 132.40 1332.0 19.170 11.0700 116.200 24.80
## 14 103.70 876.5 15.850 2.9030 36.580 23.95
## 15 93.60 697.7 13.730 2.0610 19.210 22.61
## 16 96.73 943.2 14.540 2.8790 32.550 27.54
## 17 94.74 1138.0 14.680 3.1950 45.400 20.13
## 18 108.10 1315.0 16.130 3.8540 54.180 20.68
## 19 130.00 2398.0 19.810 5.8650 112.400 22.15
## 20 87.46 711.2 13.540 2.0580 23.560 14.36
## 21 85.63 630.5 13.080 1.3830 14.670 15.71
## 22 60.34 314.9 9.504 1.9090 15.700 12.44
## 23 102.50 980.9 15.340 3.3840 44.910 14.26
## 24 137.20 2615.0 21.160 4.3030 93.990 23.04
## 25 110.00 2215.0 16.650 5.4550 102.600 21.38
## 26 116.00 1461.0 17.140 7.2760 111.400 16.40
## 27 97.41 896.9 14.580 2.1100 21.050 21.53
## 28 122.10 1403.0 18.610 5.6320 93.540 20.25
## 29 102.40 1269.0 15.300 3.4980 43.500 25.27
## 30 115.00 1227.0 17.570 4.6550 61.100 15.05
## 31 124.80 1670.0 18.630 5.5740 105.000 25.11
## 32 77.93 888.7 11.840 3.4750 41.000 18.70
## 33 112.80 1344.0 17.020 3.9990 67.780 23.98
## 34 127.90 1813.0 19.270 3.5280 68.170 26.47
## 35 107.00 1261.0 16.130 2.1830 35.030 17.88
## 36 110.10 1229.0 16.740 3.0080 45.190 21.59
## 37 93.63 799.6 14.250 2.6570 24.910 21.72
## 38 82.61 545.9 13.030 1.1700 14.160 18.42
## 39 95.54 698.8 14.990 8.0770 106.000 25.20
## 40 88.40 740.4 13.480 1.5450 18.520 20.82
## 41 86.18 787.9 13.440 1.5720 20.530 21.58
## 42 71.90 514.0 10.950 1.8220 16.970 21.35
## 43 128.30 1651.0 19.070 8.8300 104.900 24.81
## 44 87.32 907.2 13.280 2.4270 31.330 20.28
## 45 85.42 740.7 13.170 1.3340 14.490 21.81
## 46 123.70 1567.0 18.650 4.2930 71.560 17.60
## 47 51.71 242.2 8.196 1.0940 8.205 16.84
## 48 85.98 759.4 13.170 1.8970 24.250 18.66
## 49 78.04 582.6 12.050 1.8480 19.870 14.63
## 50 86.91 698.8 13.490 1.7350 20.200 22.30
## 51 74.72 516.5 11.760 2.6350 28.470 21.60
## 52 87.21 656.7 13.640 1.4490 14.550 16.34
## 53 75.71 527.2 11.940 1.5200 17.470 18.24
## 54 120.30 1321.0 18.220 4.8770 98.810 18.70
## 55 97.26 1030.0 15.100 2.0970 29.910 22.02
## 56 73.34 506.2 11.520 2.1830 23.470 18.75
## 57 125.50 2145.0 19.210 4.8370 102.500 18.57
## 58 95.55 985.5 14.710 2.7350 40.090 21.59
## 59 82.61 624.1 13.050 2.5950 32.960 19.31
## 60 54.34 274.9 8.618 1.0460 8.322 11.79
## 61 64.55 368.6 10.170 3.3120 34.620 14.88
## 62 54.66 273.9 8.598 2.4930 18.390 20.98
## 63 96.42 959.5 14.250 5.3730 60.780 22.15
## 64 59.20 310.1 9.173 2.6080 23.520 13.86
## 65 82.69 888.3 12.680 2.9270 36.460 23.84
## 66 97.40 925.1 14.780 2.4500 35.240 23.94
## 67 60.11 330.7 9.465 1.6600 14.200 21.01
## 68 71.80 466.7 11.310 1.8310 18.150 19.04
## 69 58.79 324.7 9.029 1.8850 17.670 17.33
## 70 81.37 554.9 12.780 1.4710 18.330 16.49
## 71 123.60 1866.0 18.940 5.4860 96.050 21.31
## 72 58.79 284.4 8.888 3.1680 25.440 14.64
## 73 114.20 1681.0 17.200 3.7050 69.470 24.52
## 74 90.43 812.4 13.800 1.9570 23.350 15.79
## 75 79.19 611.1 12.310 1.7400 19.680 16.52
## 76 104.10 1223.0 16.070 5.0290 79.250 19.65
## 77 87.91 605.5 13.530 2.6520 32.650 10.94
## 78 120.20 1610.0 18.050 6.3110 134.800 16.15
## 79 143.70 1623.0 20.180 8.6490 116.400 23.97
## 80 83.19 622.1 12.860 1.7780 20.350 18.00
## 81 73.81 525.1 11.450 2.0770 24.620 20.97
## 82 86.49 614.9 13.340 1.5350 12.960 15.86
## 83 171.50 2562.0 25.220 7.3820 120.000 24.91
## 84 129.10 1298.0 19.100 5.8010 67.100 26.29
## 85 76.95 567.9 12.000 1.4410 16.160 15.65
## 86 121.10 1603.0 18.460 4.7820 80.600 18.52
## 87 94.25 808.9 14.480 3.3010 38.870 21.46
## 88 122.00 1623.0 19.020 3.0550 57.650 24.59
## 89 79.78 574.7 12.360 2.2030 20.950 21.80
## 90 95.77 803.6 14.640 3.8140 42.760 15.24
## 91 94.57 803.7 14.620 2.2790 33.760 24.02
## 92 100.20 830.9 15.370 2.0750 29.440 22.76
## 93 84.74 830.6 13.270 2.7010 36.350 14.76
## 94 86.60 699.4 13.450 2.0990 25.220 18.30
## 95 100.30 1025.0 15.060 3.7060 47.140 19.83
## 96 132.40 1750.0 20.260 4.5540 87.870 23.03
## 97 77.79 495.2 12.180 2.4100 24.440 17.84
## 98 62.11 366.1 9.787 2.1320 20.050 19.94
## 99 74.34 512.5 11.600 1.4750 15.750 12.84
## 100 94.48 826.4 14.420 2.3760 26.850 19.77
## 101 88.05 906.5 13.610 2.8610 43.140 24.98
## 102 43.79 185.2 6.981 1.5530 9.833 13.43
## 103 77.22 547.8 12.180 1.1830 14.680 20.52
## 104 63.95 361.2 9.876 1.5280 11.770 19.40
## 105 67.41 402.8 10.490 2.3020 23.130 19.29
## 106 87.21 827.2 13.110 2.4100 34.660 15.56
## 107 75.17 521.7 11.640 2.1550 20.620 18.33
## 108 79.01 544.1 12.360 0.8484 9.227 18.54
## 109 152.80 2360.0 22.270 10.0500 170.000 19.67
## 110 72.48 518.1 11.340 1.5970 16.410 21.26
## 111 62.50 367.0 9.777 2.7470 22.870 16.99
## 112 82.15 527.4 12.630 2.7110 20.480 20.76
## 113 97.83 709.0 14.260 3.3990 29.250 19.65
## 114 68.64 374.4 10.510 2.0410 19.910 20.19
## 115 55.84 284.4 8.726 1.3540 8.966 15.83
## 116 76.53 583.0 11.930 2.0000 24.790 21.53
## 117 58.74 270.0 8.950 3.2800 16.940 15.76
## 118 98.64 1095.0 14.870 2.9890 41.180 16.67
## 119 105.70 1272.0 15.780 3.5980 58.630 22.91
## 120 114.20 1261.0 17.950 3.3570 54.040 20.01
## 121 73.34 510.5 11.410 1.1030 10.500 10.82
## 122 121.40 1549.0 18.660 4.8950 90.470 17.12
## 123 166.20 2073.0 24.250 9.8070 233.000 20.20
## 124 94.28 745.5 14.500 1.9280 24.190 10.89
## 125 86.10 632.1 13.370 1.2230 14.660 16.39
## 126 88.44 725.9 13.850 1.4950 17.910 17.21
## 127 87.76 848.7 13.610 1.7520 19.830 24.69
## 128 123.40 1538.0 19.000 5.2160 81.230 18.91
## 129 99.58 762.6 15.100 2.7960 39.840 16.39
## 130 130.40 1589.0 19.790 2.7650 63.330 25.12
## 131 79.08 545.2 12.190 1.9730 15.240 13.29
## 132 101.70 1156.0 15.460 3.0940 48.310 19.48
## 133 106.20 1175.0 16.160 2.8440 43.680 21.54
## 134 102.00 922.8 15.710 1.9720 27.940 13.93
## 135 120.20 1590.0 18.450 3.7660 68.350 21.91
## 136 81.72 653.6 12.770 1.4570 19.870 22.47
## 137 74.72 546.7 11.710 3.2580 34.370 16.67
## 138 73.06 462.0 11.430 1.1430 12.670 15.39
## 139 96.85 971.4 14.950 8.4190 101.900 17.57
## 140 73.00 434.0 11.280 1.8510 26.330 13.39
## 141 61.24 342.9 9.738 1.2180 12.260 11.97
## 142 105.10 1233.0 16.110 4.5330 74.080 18.05
## 143 73.66 503.0 11.430 1.9370 21.380 17.31
## 144 83.74 643.8 12.900 1.6890 16.640 15.92
## 145 68.26 441.2 10.750 1.8060 17.740 14.97
## 146 78.11 509.6 11.900 3.0210 25.030 14.65
## 147 78.99 591.7 11.800 2.2810 24.720 16.58
## 148 97.84 809.7 14.950 3.2710 39.430 18.77
## 149 93.97 766.9 14.440 2.1200 21.200 15.18
## 150 88.12 725.9 13.740 1.5730 21.470 17.91
## 151 83.51 616.7 13.000 2.8730 34.780 20.78
## 152 53.27 249.8 8.219 1.2430 10.210 20.70
## 153 63.78 380.5 9.731 4.0730 49.850 15.34
## 154 70.87 440.8 11.150 1.4290 15.480 13.08
## 155 85.31 677.3 13.150 1.8190 22.790 15.34
## 156 78.27 564.2 12.250 1.4840 16.510 17.94
## 157 117.40 1302.0 17.680 5.5400 93.910 20.74
## 158 108.40 1032.0 16.840 3.4790 46.610 19.46
## 159 76.84 532.8 12.060 1.1710 13.250 12.74
## 160 68.69 470.0 10.900 1.8080 18.540 12.96
## 161 76.10 543.9 11.750 3.9260 38.340 20.18
## 162 126.30 1495.0 19.190 6.9710 119.300 15.94
## 163 130.70 2232.0 19.590 4.7920 97.070 18.15
## 164 79.85 553.0 12.340 1.9550 21.550 22.22
## 165 152.10 2403.0 23.270 4.6030 97.850 22.04
## 166 95.50 782.1 14.970 1.2860 16.640 19.76
## 167 68.77 414.0 10.800 1.1260 11.480 9.71
## 168 109.30 1260.0 16.780 4.1290 67.340 18.80
## 169 116.10 1660.0 17.470 7.3370 122.300 24.68
## 170 96.22 793.7 14.970 1.8930 24.280 16.95
## 171 78.85 549.1 12.320 1.6700 17.430 12.39
## 172 85.84 993.6 13.430 3.1420 43.400 19.63
## 173 102.50 1102.0 15.460 2.8050 44.640 11.89
## 174 70.21 396.5 11.080 1.3770 19.080 14.71
## 175 67.49 408.3 10.660 2.1550 21.980 15.15
## 176 54.42 259.2 8.671 1.4350 11.360 14.45
## 177 64.60 390.2 9.904 3.1320 27.480 18.06
## 178 109.30 981.2 16.460 2.4820 31.590 20.11
## 179 82.01 608.8 13.010 1.1010 14.340 22.22
## 180 81.29 570.7 12.810 1.7780 21.790 13.06
## 181 182.10 3216.0 27.220 5.8200 128.700 21.87
## 182 142.70 2089.0 21.090 4.4140 81.460 26.57
## 183 101.20 1269.0 15.700 2.4060 40.980 20.31
## 184 73.53 467.2 11.410 1.9020 22.770 14.92
## 185 98.92 973.1 15.280 1.3440 19.530 22.41
## 186 63.76 437.0 10.080 2.6800 26.430 15.11
## 187 118.60 1410.0 18.310 1.8170 28.920 18.58
## 188 74.68 521.5 11.710 1.7420 17.860 17.19
## 189 75.27 489.5 11.810 1.0110 14.470 17.39
## 190 78.83 546.7 12.300 1.6870 18.320 15.90
## 191 94.37 762.4 14.220 2.1120 31.720 23.12
## 192 82.02 579.5 12.770 5.1180 53.650 21.41
## 193 60.73 303.8 9.720 2.2300 21.690 18.22
## 194 81.15 768.9 12.340 2.6420 34.440 26.86
## 195 100.40 784.7 14.860 3.5910 25.200 23.21
## 196 82.53 600.6 12.910 1.4930 15.750 16.33
## 197 90.63 806.9 13.770 4.9060 49.700 22.29
## 198 117.40 1228.0 18.080 4.3120 76.360 21.84
## 199 127.50 1688.0 19.180 3.8330 54.220 22.49
## 200 94.49 1044.0 14.450 1.4460 19.420 20.22
## 201 78.54 638.4 12.230 2.3080 27.240 19.56
## 202 115.10 1239.0 17.540 3.0880 40.730 19.32
## 203 158.90 1986.0 23.290 4.6670 83.160 26.67
## 204 91.56 1153.0 13.810 3.9090 52.720 23.75
## 205 81.09 677.9 12.470 2.4970 30.290 18.60
## 206 98.78 989.5 15.120 1.9740 26.440 16.68
## 207 62.92 331.6 9.876 1.5170 12.330 17.27
## 208 109.70 1210.0 17.010 4.1060 68.460 20.26
## 209 87.02 639.3 13.110 1.4910 15.090 22.54
## 210 98.17 932.7 15.270 1.5250 20.000 12.91
## 211 134.70 1656.0 20.580 7.0290 111.700 22.14
## 212 75.51 546.3 11.840 1.4440 17.120 18.94
## 213 188.50 2499.0 28.110 21.9800 525.600 18.47
## 214 114.50 1021.0 17.420 3.7670 58.530 25.56
## 215 92.87 811.3 14.190 3.5340 31.000 23.81
## 216 90.96 750.1 13.860 1.9330 22.690 16.93
## 217 77.32 531.2 11.890 2.0870 21.460 18.35
## 218 65.05 403.7 10.200 2.7470 22.790 17.48
## 219 129.70 2009.0 19.800 6.4870 124.400 21.56
## 220 128.00 2477.0 19.530 4.7220 109.900 32.47
## 221 87.88 706.2 13.650 1.3910 17.400 13.16
## 222 88.59 686.6 13.560 2.0110 21.030 13.90
## 223 65.12 375.6 10.180 1.6410 15.050 17.53
## 224 102.60 1088.0 15.750 2.2440 32.190 20.25
## 225 84.55 708.8 13.270 2.0440 24.680 17.02
## 226 92.51 873.2 14.340 3.7630 48.290 13.47
## 227 66.62 395.4 10.440 1.2080 11.860 15.46
## 228 97.45 808.2 15.000 2.2760 19.880 15.51
## 229 81.35 624.0 12.620 1.4450 18.510 23.97
## 230 85.26 706.0 12.830 2.2570 25.130 22.33
## 231 113.40 1189.0 17.050 2.1530 31.980 19.08
## 232 71.76 452.3 11.320 1.0590 8.605 27.08
## 233 70.79 470.9 11.220 1.4890 15.460 33.81
## 234 134.40 1872.0 20.510 3.7670 70.010 27.81
## 235 60.21 335.9 9.567 1.2150 12.640 15.91
## 236 89.79 715.5 14.030 1.6670 22.070 21.25
## 237 153.50 2944.0 23.210 7.2470 155.800 26.97
## 238 132.50 1750.0 20.480 5.1440 83.500 21.46
## 239 92.55 764.0 14.220 2.1050 29.960 27.85
## 240 113.40 1408.0 17.460 3.0020 49.000 39.28
## 241 87.38 683.4 13.640 1.9960 27.190 15.60
## 242 78.61 543.4 12.420 0.7570 9.006 15.04
## 243 73.93 472.9 11.300 2.3690 16.390 18.19
## 244 88.54 706.0 13.750 2.8290 39.930 23.77
## 245 129.10 1417.0 19.400 4.0370 60.410 23.50
## 246 66.72 402.8 10.480 2.5170 23.220 19.86
## 247 84.13 602.0 13.200 0.8730 13.560 17.43
## 248 84.95 639.1 12.890 2.3930 16.350 14.11
## 249 68.01 455.7 10.650 1.4970 16.640 25.22
## 250 73.87 491.8 11.520 1.6860 18.620 14.93
## 251 138.90 2010.0 20.940 6.3720 137.900 23.56
## 252 73.28 508.9 11.500 2.6840 26.990 18.45
## 253 130.70 1933.0 19.730 4.1150 92.810 19.82
## 254 113.00 1222.0 17.300 2.1930 33.630 17.08
## 255 126.50 1972.0 19.450 3.7970 71.000 19.33
## 256 91.43 826.0 13.960 2.5630 35.740 17.05
## 257 133.60 1926.0 19.550 7.1580 106.400 28.77
## 258 103.20 928.8 15.320 4.0610 59.460 17.27
## 259 110.20 1226.0 15.660 10.1200 138.500 23.20
## 260 103.70 1035.0 15.530 1.9030 23.020 33.56
## 261 132.90 1844.0 20.310 2.5870 52.340 27.06
## 262 111.00 1218.0 17.350 2.5770 44.410 23.06
## 263 114.40 1295.0 17.290 6.1460 90.940 22.13
## 264 100.00 988.6 15.610 1.5340 22.180 19.38
## 265 111.60 1436.0 17.190 2.8190 45.420 22.07
## 266 135.70 3432.0 20.730 7.7490 199.700 31.12
## 267 69.28 424.8 10.600 3.4300 27.100 18.95
## 268 87.16 661.5 13.590 2.5910 26.760 21.84
## 269 82.38 597.5 12.870 1.5460 18.240 16.21
## 270 69.50 410.4 10.710 2.2300 20.740 20.39
## 271 90.30 684.6 14.290 0.8439 10.770 16.82
## 272 72.23 457.5 11.290 1.1640 13.170 13.04
## 273 147.30 2384.0 21.750 8.8670 156.800 20.99
## 274 61.50 355.2 9.742 1.7500 16.390 15.67
## 275 115.20 1320.0 17.930 2.7650 45.810 24.48
## 276 76.20 472.4 11.890 4.0210 48.840 17.36
## 277 71.79 458.0 11.330 1.5650 17.090 14.16
## 278 120.90 1236.0 18.810 2.3630 36.740 19.98
## 279 86.24 739.1 13.590 1.6830 22.220 17.84
## 280 88.99 670.0 13.850 1.8300 19.410 15.18
## 281 126.20 1724.0 19.160 4.3210 69.650 26.60
## 282 74.24 533.7 11.740 3.7170 37.830 14.02
## 283 127.20 1628.0 19.400 2.9030 53.160 18.18
## 284 108.80 1031.0 16.240 2.4640 28.090 18.77
## 285 84.08 595.6 12.890 2.3470 23.290 15.70
## 286 79.83 564.1 12.580 1.7210 22.450 18.40
## 287 77.87 546.1 11.940 3.1980 21.910 20.76
## 288 81.89 577.0 12.890 1.1150 12.680 13.12
## 289 73.72 437.6 11.260 2.8770 34.680 19.96
## 290 72.17 459.3 11.370 1.9540 17.490 18.89
## 291 96.03 767.3 14.410 4.3600 77.110 19.73
## 292 97.03 809.8 14.960 2.1710 24.870 19.10
## 293 83.14 585.4 12.950 1.2310 17.670 16.02
## 294 75.54 517.8 11.850 1.2340 13.880 17.46
## 295 81.78 553.7 12.720 1.3400 13.380 13.78
## 296 88.06 661.1 13.770 1.4790 17.740 13.27
## 297 69.14 392.2 10.910 1.2670 11.090 12.35
## 298 75.00 553.6 11.760 4.1380 49.110 18.14
## 299 91.22 819.7 14.260 1.6610 20.560 18.17
## 300 66.85 362.7 10.510 2.2890 20.560 23.09
## 301 129.50 2053.0 19.530 7.2370 133.000 18.90
## 302 80.43 551.3 12.460 2.5790 28.320 19.89
## 303 134.70 1696.0 20.090 7.8040 130.800 23.86
## 304 66.86 375.4 10.490 1.0350 10.080 18.61
## 305 73.59 489.8 11.460 2.4750 22.930 18.16
## 306 74.23 476.5 11.600 1.9610 18.210 24.49
## 307 84.07 636.9 13.200 1.2040 15.500 15.82
## 308 56.36 285.5 9.000 1.1440 9.789 14.40
## 309 85.69 698.7 13.500 1.5090 20.390 12.71
## 310 82.71 672.4 13.050 2.5670 33.010 13.84
## 311 74.33 483.1 11.700 1.1090 11.280 19.11
## 312 92.68 840.8 14.610 1.9540 28.900 15.69
## 313 82.29 618.8 12.760 2.3460 25.180 13.37
## 314 73.73 467.8 11.540 1.1070 9.438 10.72
## 315 54.09 240.1 8.597 2.2220 17.810 18.60
## 316 79.19 544.2 12.490 1.0470 12.690 16.85
## 317 77.25 513.1 12.180 1.4380 15.820 14.08
## 318 118.70 1485.0 18.220 2.5470 48.900 18.87
## 319 60.07 297.1 9.042 3.7690 24.200 18.90
## 320 78.60 515.9 12.430 2.4870 31.160 17.00
## 321 66.52 390.4 10.250 1.5970 22.680 16.18
## 322 131.10 1657.0 20.160 3.8680 74.850 19.66
## 323 82.82 599.5 12.860 1.6140 16.570 13.32
## 324 135.90 1938.0 20.340 4.0120 69.060 21.51
## 325 78.01 583.1 12.200 1.9590 19.010 15.21
## 326 81.25 574.4 12.670 1.5660 17.610 17.30
## 327 90.03 749.9 14.110 1.5580 23.920 12.88
## 328 76.09 523.4 12.030 1.4660 16.970 17.93
## 329 106.90 1121.0 16.270 3.2700 44.410 20.71
## 330 107.50 975.2 16.260 2.9610 57.720 21.88
## 331 105.80 1070.0 16.030 2.6290 33.270 15.51
## 332 84.52 634.3 12.980 2.4650 20.650 19.35
## 333 71.94 436.1 11.220 1.9590 19.620 19.86
## 334 71.38 492.7 11.250 1.5290 15.070 14.78
## 335 77.88 544.3 12.300 1.1990 13.240 19.02
## 336 111.80 1362.0 17.060 6.0760 87.170 21.00
## 337 84.08 576.0 12.990 0.9219 14.410 14.23
## 338 122.90 1873.0 18.770 4.3690 88.250 21.43
## 339 64.41 384.0 10.050 1.7780 16.850 17.53
## 340 155.10 2906.0 23.510 6.4620 164.100 24.27
## 341 94.15 862.1 14.420 2.6770 32.140 16.54
## 342 61.64 353.6 9.606 1.4290 12.070 16.84
## 343 71.49 440.0 11.060 1.3550 10.800 14.96
## 344 129.90 1540.0 19.680 5.1730 67.660 21.68
## 345 75.03 516.4 11.710 2.3550 24.530 15.45
## 346 66.20 357.1 10.260 2.3940 19.330 14.71
## 347 76.66 562.6 12.060 1.5590 18.020 18.90
## 348 94.87 880.8 14.760 2.5370 29.060 14.74
## 349 73.02 475.8 11.470 1.0900 12.250 16.03
## 350 77.23 496.2 11.950 2.4550 26.650 14.96
## 351 73.70 542.5 11.660 2.2250 26.030 17.07
## 352 107.10 915.3 15.750 3.4770 51.220 19.22
## 353 174.20 3234.0 25.730 7.2220 153.100 17.46
## 354 98.00 1050.0 15.080 4.1740 63.370 25.74
## 355 71.24 453.5 11.140 3.3300 28.840 14.07
## 356 81.92 547.4 12.560 3.2120 27.490 19.07
## 357 85.09 591.2 13.050 2.5900 21.570 18.59
## 358 88.52 694.4 13.870 1.7370 20.740 16.21
## 359 56.74 302.0 8.878 4.2770 30.180 15.49
## 360 59.82 439.6 9.436 3.2670 30.480 18.32
## 361 79.42 585.7 12.540 2.3290 28.300 18.07
## 362 85.24 621.2 13.300 2.0280 20.980 21.57
## 363 81.87 579.7 12.760 1.5350 17.260 18.84
## 364 106.60 1009.0 16.500 2.3440 33.580 18.29
## 365 85.48 663.5 13.400 1.0360 13.220 16.95
## 366 133.80 1780.0 20.440 4.2180 72.440 21.78
## 367 133.70 1671.0 20.200 7.1280 103.600 26.83
## 368 78.31 624.6 12.210 1.8740 18.570 18.02
## 369 140.90 3143.0 21.710 7.7330 224.100 17.25
## 370 147.20 2227.0 22.010 7.5610 130.200 21.90
## 371 109.00 1165.0 16.350 2.9720 45.500 23.29
## 372 97.65 819.1 15.190 1.3380 17.720 13.21
## 373 141.30 1535.0 21.370 2.4070 39.060 15.10
## 374 134.80 1946.0 20.640 4.1190 77.020 17.35
## 375 87.84 670.6 13.690 1.3720 14.000 16.07
## 376 106.30 861.5 16.170 1.3490 14.910 16.07
## 377 70.15 351.9 10.570 2.3630 7.228 20.22
## 378 85.89 680.6 13.460 1.4000 14.910 28.21
## 379 88.27 657.0 13.660 1.1010 11.350 15.15
## 380 73.30 508.1 11.080 1.7190 13.990 18.83
## 381 73.16 476.1 11.270 1.8090 16.040 12.96
## 382 70.67 447.1 11.040 1.2810 11.680 14.93
## 383 78.75 488.4 12.050 1.7780 9.549 22.72
## 384 80.64 600.5 12.390 2.1170 19.200 17.48
## 385 85.79 623.7 13.280 1.5920 15.260 13.72
## 386 93.97 758.2 14.600 2.9140 33.010 23.29
## 387 78.78 529.9 12.210 2.0970 19.960 14.09
## 388 88.37 745.3 13.880 1.7090 23.120 16.16
## 389 73.38 450.0 11.270 2.5690 22.970 15.50
## 390 128.90 1313.0 19.550 5.3830 70.100 23.21
## 391 65.75 394.5 10.260 1.3480 11.880 12.22
## 392 55.27 317.0 8.734 3.1670 28.850 16.84
## 393 102.40 1359.0 15.490 4.6750 66.910 19.97
## 394 144.40 2081.0 21.610 4.1580 80.990 22.28
## 395 78.07 559.5 12.100 1.8690 22.220 17.72
## 396 89.75 684.5 14.060 1.2370 12.670 17.18
## 397 88.10 675.2 13.510 1.5130 19.290 18.89
## 398 83.05 591.0 12.800 2.6680 30.570 17.46
## 399 70.31 496.7 11.060 1.2630 12.980 14.83
## 400 75.26 562.0 11.800 2.2250 25.060 17.26
## 401 124.40 1304.0 17.910 3.1230 41.510 21.02
## 402 76.14 589.5 11.930 1.6490 18.950 10.91
## 403 84.18 621.9 12.960 2.3970 20.210 18.29
## 404 83.18 580.9 12.940 0.9975 11.360 16.17
## 405 78.29 533.1 12.340 2.6020 30.150 14.95
## 406 70.39 472.4 10.940 3.0180 25.780 18.59
## 407 104.30 947.9 16.140 1.7290 21.830 14.86
## 408 82.63 645.8 12.850 2.5520 41.240 21.37
## 409 117.80 1349.0 17.990 3.0610 49.810 20.66
## 410 78.41 610.2 12.270 2.0790 25.790 17.92
## 411 72.49 521.3 11.360 1.3590 13.660 17.57
## 412 70.92 471.4 11.040 1.3420 13.540 16.83
## 413 59.75 301.0 9.397 1.1740 6.802 21.68
## 414 97.53 867.1 14.990 2.3100 28.510 22.11
## 415 96.71 931.4 15.130 3.0430 45.380 29.81
## 416 76.39 522.9 11.890 1.9300 19.530 21.17
## 417 59.60 359.4 9.405 2.7590 25.170 21.70
## 418 102.90 1748.0 15.500 9.4240 176.500 21.08
## 419 80.88 566.9 12.700 1.5270 17.370 12.17
## 420 70.95 458.0 11.160 1.9680 18.990 21.41
## 421 74.20 520.5 11.570 2.2060 20.300 19.04
## 422 98.22 809.2 14.690 4.7950 49.450 13.98
## 423 75.46 475.7 11.610 1.6670 15.890 16.02
## 424 89.46 708.8 13.660 1.8040 19.360 19.13
## 425 61.93 380.9 9.742 4.6070 43.520 19.12
## 426 63.19 376.3 10.030 1.1840 11.600 21.28
## 427 67.49 440.4 10.480 2.5640 20.770 14.98
## 428 68.79 489.5 10.800 2.2400 20.200 21.98
## 429 70.47 421.1 11.130 0.9680 9.704 16.62
## 430 80.98 586.8 12.720 2.1090 23.240 17.67
## 431 102.10 832.7 14.900 3.4660 24.190 22.53
## 432 81.47 515.8 12.400 2.2040 15.430 17.68
## 433 133.80 1479.0 20.180 3.0080 52.490 19.54
## 434 123.70 1603.0 18.820 4.4930 103.900 21.97
## 435 94.89 777.5 14.860 1.6120 23.920 16.94
## 436 91.12 869.3 13.980 1.6020 18.850 19.62
## 437 82.67 626.9 12.870 2.5970 26.500 19.54
## 438 89.78 750.0 14.040 2.6440 32.740 15.98
## 439 88.68 749.1 13.850 2.3310 29.630 19.60
## 440 89.59 688.9 14.020 1.6060 19.250 15.66
## 441 71.73 476.4 10.970 2.8060 18.150 17.20
## 442 112.40 1284.0 17.270 3.2830 58.380 25.42
## 443 88.37 706.6 13.780 2.2350 29.340 15.79
## 444 66.82 366.3 10.570 1.2770 13.120 18.32
## 445 117.50 1292.0 18.030 1.9210 35.770 16.85
## 446 77.61 513.9 11.990 1.8650 19.390 24.89
## 447 117.30 1437.0 17.750 2.8730 43.950 28.03
## 448 95.88 829.5 14.800 1.4820 19.750 17.66
## 449 94.25 830.5 14.530 1.9940 23.040 19.34
## 450 138.10 2022.0 21.100 4.5420 81.890 20.52
## 451 76.83 507.2 11.870 1.9550 20.240 21.54
## 452 127.70 1421.0 19.590 2.9160 56.180 25.00
## 453 76.77 523.7 12.000 1.5160 13.860 28.23
## 454 93.86 749.9 14.530 2.1430 25.700 13.98
## 455 80.62 633.5 12.620 1.1160 13.320 17.15
## 456 86.34 705.6 13.380 2.2870 28.930 30.72
## 457 74.87 527.8 11.630 2.1500 23.130 29.29
## 458 84.10 632.9 13.210 1.3140 17.580 25.25
## 459 82.61 628.5 13.000 1.6570 21.190 25.13
## 460 61.68 349.9 9.755 1.2430 11.280 28.20
## 461 111.20 1648.0 17.080 6.0510 115.200 27.15
## 462 186.90 4254.0 27.420 18.6500 542.200 26.27
## 463 92.25 734.6 14.400 1.7270 20.520 26.99
## 464 73.88 495.1 11.600 1.3030 12.890 18.36
## 465 84.28 687.6 13.170 1.2360 16.890 18.22
## 466 86.87 733.5 13.240 3.3690 23.810 20.13
## 467 85.98 689.1 13.140 2.3120 27.400 20.74
## 468 61.06 380.2 9.668 2.2750 20.980 18.10
## 469 119.00 1437.0 17.600 5.8010 104.900 23.33
## 470 76.38 528.1 11.620 3.0270 27.850 18.18
## 471 61.49 385.2 9.667 2.5690 22.730 18.49
## 472 76.85 567.6 12.040 4.0990 44.960 28.14
## 473 96.45 906.6 14.920 1.8260 23.310 14.93
## 474 77.42 558.9 12.270 2.8840 35.130 29.97
## 475 70.41 433.1 10.880 1.3010 9.597 15.62
## 476 82.89 605.8 12.830 1.1950 11.640 15.73
## 477 92.41 828.5 14.200 2.7490 31.010 20.53
## 478 88.97 718.9 13.900 1.3920 14.030 16.62
## 479 73.99 467.6 11.490 1.5670 14.340 14.59
## 480 109.80 939.7 16.250 3.0700 33.120 19.51
## 481 78.29 547.4 12.160 1.6780 16.260 18.03
## 482 88.73 830.5 13.900 2.0560 28.410 19.24
## 483 87.32 660.2 13.470 1.1020 12.840 14.06
## 484 87.76 686.5 13.700 1.5640 20.640 17.64
## 485 102.80 854.3 15.730 1.1430 13.870 11.28
## 486 82.85 580.6 12.450 5.0040 30.190 16.41
## 487 94.21 831.0 14.640 1.4710 19.980 16.85
## 488 128.10 1740.0 19.440 3.6310 67.740 18.82
## 489 75.49 549.8 11.680 2.5540 27.570 16.17
## 490 107.10 1084.0 16.690 1.7750 22.950 20.20
## 491 78.18 622.9 12.250 1.5770 18.040 22.44
## 492 114.60 1210.0 17.850 3.1630 50.950 13.23
## 493 118.40 1426.0 18.010 5.3530 89.740 20.56
## 494 78.83 534.0 12.460 2.1080 24.600 12.83
## 495 84.06 648.3 13.160 2.3260 26.070 20.54
## 496 96.12 783.6 14.870 1.5960 21.840 20.21
## 497 82.69 633.7 12.650 1.6960 18.400 18.17
## 498 80.45 607.3 12.470 1.2530 11.910 17.31
## 499 121.30 1600.0 18.490 4.8510 95.770 17.52
## 500 137.80 1760.0 20.590 4.2060 75.090 21.24
## 501 98.73 856.9 15.040 2.3040 34.840 16.74
## 502 92.33 788.0 13.820 2.9740 39.050 24.49
## 503 81.25 552.0 12.540 1.5660 18.490 16.32
## 504 152.10 2782.0 23.090 9.6350 180.200 19.83
## 505 61.49 300.2 9.268 3.0140 20.040 12.87
## 506 64.12 328.1 9.676 1.7870 17.670 13.14
## 507 79.47 515.3 12.220 0.9857 12.580 20.04
## 508 71.25 411.1 11.060 1.3180 12.300 17.12
## 509 104.70 928.2 16.300 1.1460 20.670 15.70
## 510 103.80 909.4 15.460 2.9370 32.520 23.95
## 511 76.31 473.8 11.740 1.3450 13.040 14.69
## 512 94.66 760.2 14.810 1.6770 20.720 14.70
## 513 88.64 844.4 13.400 3.0930 33.670 20.52
## 514 94.29 862.0 14.580 2.5610 37.110 13.66
## 515 97.26 967.0 15.050 2.6300 38.490 19.07
## 516 72.76 478.6 11.340 1.4910 18.190 18.61
## 517 120.80 1493.0 18.310 3.2180 67.360 20.58
## 518 130.50 1646.0 19.890 3.6540 59.700 20.26
## 519 84.45 674.7 12.880 3.1760 34.370 18.22
## 520 82.51 624.1 12.750 2.4950 28.620 16.70
## 521 59.96 326.6 9.295 2.3880 19.630 13.90
## 522 165.50 2642.0 24.630 7.0500 139.900 21.60
## 523 71.30 435.9 11.260 0.9812 9.332 19.83
## 524 88.73 701.9 13.710 2.2840 26.450 18.68
## 525 63.00 376.5 9.847 1.9760 15.240 15.68
## 526 54.53 275.6 8.571 1.0690 7.254 13.10
## 527 87.44 719.8 13.460 1.4430 16.070 18.75
## 528 78.94 564.9 12.340 0.7714 8.955 12.27
## 529 90.31 653.3 13.940 4.0910 44.740 13.17
## 530 77.83 549.9 12.070 1.7140 18.540 13.44
## 531 75.89 552.3 11.750 3.1490 30.660 17.56
## 532 75.21 550.6 11.670 1.3930 15.340 20.02
## 533 87.76 773.4 13.680 1.3730 17.250 16.33
## 534 134.70 1645.0 20.470 5.1680 100.400 20.67
## 535 70.79 407.5 10.960 1.1650 10.090 17.62
## 536 137.80 1809.0 20.550 4.7060 87.780 20.86
## 537 93.77 728.3 14.270 1.8950 18.540 22.55
## 538 76.37 487.7 11.690 2.1580 20.950 24.44
## 539 47.98 248.0 7.729 2.4920 19.140 25.49
## 540 48.34 223.6 7.691 1.4450 11.730 25.44
## 541 74.65 457.8 11.540 1.6280 20.860 14.44
## 542 95.81 808.9 14.470 2.6150 23.110 24.99
## 543 94.70 826.4 14.740 2.1770 27.410 25.42
## 544 84.88 629.6 13.210 1.5390 17.850 28.06
## 545 89.77 688.6 13.870 2.0760 23.120 20.70
## 546 87.19 729.8 13.620 2.0660 31.240 23.23
## 547 65.31 384.9 10.320 1.3560 12.970 16.35
## 548 65.85 357.4 10.260 0.9887 7.326 16.58
## 549 61.05 364.2 9.683 2.0540 18.240 19.34
## 550 68.89 505.6 10.820 3.5640 33.000 24.21
## 551 68.51 412.3 10.860 2.1150 20.670 21.48
## 552 71.49 436.6 11.130 1.9940 17.850 22.44
## 553 81.35 594.7 12.770 1.4770 18.760 29.43
## 554 59.01 295.8 9.333 2.1210 17.860 21.94
## 555 82.50 595.7 12.880 1.5020 16.830 28.92
## 556 65.67 357.6 10.290 1.4370 14.460 27.61
## 557 64.73 347.3 10.160 1.6480 16.800 19.59
## 558 59.26 330.6 9.423 3.6180 29.110 27.88
## 559 96.39 733.5 14.590 2.2240 19.540 22.68
## 560 74.52 474.2 11.510 1.9360 16.970 23.93
## 561 91.38 706.7 14.050 2.8880 29.840 27.15
## 562 70.67 439.6 11.200 2.0410 22.810 29.37
## 563 103.40 915.0 15.220 2.3620 22.650 30.62
## 564 143.00 1819.0 20.920 8.7580 118.800 25.09
## 565 142.00 2027.0 21.560 7.6730 158.700 22.39
## 566 131.20 1731.0 20.130 5.2030 99.040 28.25
## 567 108.30 1124.0 16.600 3.4250 48.550 28.08
## 568 140.10 1821.0 20.600 5.7720 86.220 29.33
## 569 47.92 268.6 7.760 2.5480 19.150 24.54ncol(wdbc.data)## [1] 30nrow(wdbc.data)## [1] 569# Convert the features of the data: wdbc.data
wdbc.data <- as.matrix(wdbc.data)
# Set the row names of wdbc.data
row.names(wdbc.data) <- wdbc$id
# Create diagnosis vector
diagnosis <- as.numeric(wdbc$diagnosis)wdbc.pcov <- prcomp(wdbc.data, scores = TRUE, cor=TRUE, center = TRUE, scale = TRUE)## Warning: In prcomp.default(wdbc.data, scores = TRUE, cor = TRUE, center = TRUE,
## scale = TRUE) :
## extra arguments 'scores', 'cor' will be disregardedsummary(wdbc.pcov)## Importance of components:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7
## Standard deviation 3.6444 2.3857 1.67867 1.40735 1.28403 1.09880 0.82172
## Proportion of Variance 0.4427 0.1897 0.09393 0.06602 0.05496 0.04025 0.02251
## Cumulative Proportion 0.4427 0.6324 0.72636 0.79239 0.84734 0.88759 0.91010
## PC8 PC9 PC10 PC11 PC12 PC13 PC14
## Standard deviation 0.69037 0.6457 0.59219 0.5421 0.51104 0.49128 0.39624
## Proportion of Variance 0.01589 0.0139 0.01169 0.0098 0.00871 0.00805 0.00523
## Cumulative Proportion 0.92598 0.9399 0.95157 0.9614 0.97007 0.97812 0.98335
## PC15 PC16 PC17 PC18 PC19 PC20 PC21
## Standard deviation 0.30681 0.28260 0.24372 0.22939 0.22244 0.17652 0.1731
## Proportion of Variance 0.00314 0.00266 0.00198 0.00175 0.00165 0.00104 0.0010
## Cumulative Proportion 0.98649 0.98915 0.99113 0.99288 0.99453 0.99557 0.9966
## PC22 PC23 PC24 PC25 PC26 PC27 PC28
## Standard deviation 0.16565 0.15602 0.1344 0.12442 0.09043 0.08307 0.03987
## Proportion of Variance 0.00091 0.00081 0.0006 0.00052 0.00027 0.00023 0.00005
## Cumulative Proportion 0.99749 0.99830 0.9989 0.99942 0.99969 0.99992 0.99997
## PC29 PC30
## Standard deviation 0.02736 0.01153
## Proportion of Variance 0.00002 0.00000
## Cumulative Proportion 1.00000 1.00000screeplot(wdbc.pcov,type = "line")
abline(h = 3, col = "red", lty = 3)
wdbc.pcs <- wdbc.pcov$x[,7:15]
head(wdbc.pcs)## PC7 PC8 PC9 PC10 PC11 PC12
## 842302 2.15747152 0.39805698 -0.15698023 -0.8766305 -0.2627243 -0.8582593
## 842517 0.01334635 -0.24077660 -0.71127897 1.1060218 -0.8124048 0.1577838
## 84300903 -0.66757908 -0.09728813 0.02404449 0.4538760 0.6050715 0.1242777
## 84348301 1.42865363 -1.05863376 -1.40420412 -1.1159933 1.1505012 1.0104267
## 84358402 -0.93538950 -0.63581661 -0.26357355 0.3773724 -0.6507870 -0.1104183
## 843786 0.49001396 0.16529843 -0.13335576 -0.5299649 -0.1096698 0.0813699
## PC13 PC14 PC15
## 842302 0.10329677 -0.690196797 0.601264078
## 842517 -0.94269981 -0.652900844 -0.008966977
## 84300903 -0.41026561 0.016665095 -0.482994760
## 84348301 -0.93245070 -0.486988399 0.168699395
## 84358402 0.38760691 -0.538706543 -0.310046684
## 843786 -0.02625135 0.003133944 -0.178447576# Create diagnosis vector
wdbc.pcst <- wdbc.pcs
wdbc.pcst <- cbind(wdbc.pcs, diagnosis)
head(wdbc.pcst)## PC7 PC8 PC9 PC10 PC11 PC12
## 842302 2.15747152 0.39805698 -0.15698023 -0.8766305 -0.2627243 -0.8582593
## 842517 0.01334635 -0.24077660 -0.71127897 1.1060218 -0.8124048 0.1577838
## 84300903 -0.66757908 -0.09728813 0.02404449 0.4538760 0.6050715 0.1242777
## 84348301 1.42865363 -1.05863376 -1.40420412 -1.1159933 1.1505012 1.0104267
## 84358402 -0.93538950 -0.63581661 -0.26357355 0.3773724 -0.6507870 -0.1104183
## 843786 0.49001396 0.16529843 -0.13335576 -0.5299649 -0.1096698 0.0813699
## PC13 PC14 PC15 diagnosis
## 842302 0.10329677 -0.690196797 0.601264078 1
## 842517 -0.94269981 -0.652900844 -0.008966977 1
## 84300903 -0.41026561 0.016665095 -0.482994760 1
## 84348301 -0.93245070 -0.486988399 0.168699395 1
## 84358402 0.38760691 -0.538706543 -0.310046684 1
## 843786 -0.02625135 0.003133944 -0.178447576 1dataset <- wdbc.pcst
dataset## PC7 PC8 PC9 PC10 PC11
## 842302 2.1574715203 0.398056982 -0.156980233 -0.8766305374 -0.262724285
## 842517 0.0133463502 -0.240776600 -0.711278966 1.1060217613 -0.812404827
## 84300903 -0.6675790845 -0.097288135 0.024044486 0.4538760367 0.605071514
## 84348301 1.4286536346 -1.058633755 -1.404204115 -1.1159933184 1.150501182
## 84358402 -0.9353895017 -0.635816609 -0.263573547 0.3773724202 -0.650787016
## 843786 0.4900139551 0.165298432 -0.133355760 -0.5299649041 -0.109669824
## 844359 -0.3013023315 -0.083624609 -0.079954220 0.2189506984 -0.393343607
## 84458202 0.9732434974 0.652763899 0.247965464 0.9997064885 0.196313828
## 844981 -0.2149145974 0.686736938 0.511473855 0.0291618051 0.560021577
## 84501001 2.5176245802 -0.364827879 -0.716766009 -1.1646060593 -0.548555069
## 845636 0.6244628561 -0.165603833 -0.301115608 0.3759046163 -0.294276512
## 84610002 0.6655068738 -0.619000411 -0.400588340 -0.3307781202 0.150099383
## 846226 0.9406696600 3.318863750 -0.747130974 0.3955980681 1.119190867
## 846381 -1.7974995418 -1.105684467 0.267389882 0.4391951701 0.853628961
## 84667401 0.7422274132 0.280679206 -0.674510305 -0.1155553104 0.637371253
## 84799002 0.9142524133 -0.302257713 0.456538430 0.4467643551 -0.089892055
## 848406 -0.0867706702 -0.029483040 0.502783775 -0.4992331367 -0.283115330
## 84862001 0.4415962916 0.413405991 0.018656683 0.3563165037 -0.077022788
## 849014 -0.2510619539 -0.741499503 0.410086322 -0.5708248435 -0.382631859
## 8510426 -1.2006310194 -0.403270875 0.404944121 0.0059203674 -0.087947737
## 8510653 0.3381860916 0.861201670 -0.187036602 0.3606065559 0.252743308
## 8510824 -0.1908707908 0.244247147 0.546415425 0.0076299444 0.295829357
## 8511133 -1.0062943167 -0.104544724 0.168363304 -0.2454047607 0.747761739
## 851509 -0.0747626295 -0.180094245 -0.363806008 0.6909368005 -0.845138812
## 852552 0.7996017629 -0.419539913 0.810965561 0.0214595144 -0.600095326
## 852631 0.6013244034 1.306262282 1.100042783 2.2842657360 0.196585356
## 852763 0.2896641020 0.495541562 0.113090873 0.2951812417 0.441362589
## 852781 -0.6452669891 -0.340174492 -0.043873679 -0.3961957456 -0.412668030
## 852973 0.1609885641 -0.378501497 0.356974453 -0.5691360315 0.370382886
## 853201 0.1838685926 0.218709799 -0.381333094 -0.0364970759 0.246904961
## 853401 0.4615706215 0.291813749 0.284492214 0.1182178679 -0.496378073
## 853612 1.9763494638 -0.202453666 0.564148659 -0.2297663753 -0.756864461
## 85382601 -0.8888020606 0.243842164 0.442519010 0.1433737325 -0.585836567
## 854002 1.0317090641 -1.141727259 -0.566293378 0.2446991603 0.077919478
## 854039 0.7700944229 -0.210139235 -0.585132155 -0.0747302216 -0.326307877
## 854253 -0.7199616429 -1.411392236 0.196789071 -0.7431027433 -0.328257659
## 854268 -0.1425954318 -0.488198042 0.390894097 -0.3824484486 -0.217741168
## 854941 -0.8043318792 1.707341340 -0.891664549 -1.0876247249 -0.032328754
## 855133 1.2791292757 1.498249655 2.100532774 0.0114924931 1.047288688
## 855138 -0.1775681622 -0.198083551 0.431153558 -0.4385877226 0.591014507
## 855167 0.0418357439 0.048599880 0.666574547 0.3902914311 0.145009410
## 855563 -0.4965417472 0.484027443 0.912512891 -0.4303234931 -0.115306889
## 855625 0.4337837927 -1.387017258 -0.352517752 -0.9339783433 1.277954488
## 856106 0.6132339088 0.067809257 0.282512565 0.1518262957 0.160272727
## 85638502 0.2333988676 -0.174872997 0.544441256 -0.2067359385 0.240085901
## 857010 -0.7874816331 -0.790091300 0.111457042 -1.0551322678 0.003089503
## 85713702 0.2230057137 -0.867569780 0.328258562 -0.1456716219 0.090090936
## 85715 -0.1604792421 -0.018943396 0.591809797 -0.1053337966 -0.289430944
## 857155 0.1971605392 0.040044188 0.419441177 -0.6168907916 -0.324354020
## 857156 -0.6838772921 0.555862941 0.605703404 0.1987895162 0.237322628
## 857343 0.4536379429 -0.123851495 0.259381187 -0.4343429520 0.639460669
## 857373 0.4449438979 0.057879905 -0.492076521 -0.2410267010 0.079686662
## 857374 0.0607736151 -0.510873270 0.413623505 0.8230489282 0.025165467
## 857392 0.6479398411 1.537761700 -0.614290601 0.0886086788 -0.274018692
## 857438 -0.2152637743 -0.207515896 0.505338373 0.1085018162 0.058487255
## 85759902 -0.3925629141 -0.745416793 0.301153902 0.0751610030 0.197754405
## 857637 -0.1853434904 -0.309233059 0.012534355 -0.1128753503 -0.605550553
## 857793 0.5362098378 0.951178388 0.073379908 0.1941817154 0.381160012
## 857810 0.4873781448 -0.297723909 -0.127261763 0.7362638224 -0.228334046
## 858477 0.4064726785 -1.225062124 0.345609537 -0.4642608787 -0.621205924
## 858970 0.7457813449 0.909941133 0.262199059 1.3178790775 -0.369405174
## 858981 -0.3959097935 -0.230734976 0.102956869 -0.9272860914 0.341145747
## 858986 0.8193030850 -0.330742314 0.528189577 -0.4855301241 0.717323304
## 859196 0.2103798445 0.627427082 -0.232120660 0.0413657355 -0.511053316
## 85922302 -0.0057834579 -0.385706296 0.801372546 -0.1817471124 0.223067407
## 859283 -0.5309593004 0.474393258 0.003939003 0.1728882560 0.510796559
## 859464 0.1693780934 -0.029824460 -0.111145907 -0.2713131090 -0.231340120
## 859465 -0.5265287503 -1.082071976 0.427426065 -0.3912329742 0.171674515
## 859471 -2.5787909992 -1.298010892 3.780791875 -2.7357511959 -2.301916714
## 859487 -0.8493285940 -0.334869937 -0.004978691 -0.3104418547 0.131584973
## 859575 0.2832433298 -0.086188560 0.326867199 0.0333168740 0.428848750
## 859711 2.4262266414 -1.317108728 -1.883468421 3.1898325590 -0.057789430
## 859717 1.5624901202 -0.593662500 -0.672507942 0.0611282077 0.018812465
## 859983 0.6971724884 0.393036492 -0.357905538 -0.1474184494 0.379838236
## 8610175 0.1200189004 0.459971988 0.314694924 -0.0155400843 -0.007559389
## 8610404 -0.9081210535 -1.100360740 1.244777578 0.0926553152 0.140571180
## 8610629 -0.7756714142 0.246838044 -0.772831741 1.5166900630 -0.408291577
## 8610637 1.3985754634 -0.719241167 -0.096664805 0.5085691762 0.845106205
## 8610862 -1.1544779461 -0.483077495 -1.170391748 -1.3237161139 1.209082105
## 8610908 0.0536554932 0.355866547 0.048832592 -0.1077491295 0.127065020
## 861103 0.1435614258 0.486258862 -0.122378079 -0.0390292436 -0.786967580
## 8611161 -0.3263920580 0.151919734 -0.226864771 -0.5036154424 0.195944932
## 8611555 0.0355707110 0.547079286 -1.647859246 0.3961746350 0.253381955
## 8611792 -0.0432176692 2.012767522 -2.966728252 0.0222412116 0.711729247
## 8612080 -0.2550878307 0.229994161 0.423649141 0.1477716874 -0.745878240
## 8612399 -0.1536701262 0.192125163 -0.083450911 0.4426520533 -1.004759517
## 86135501 -1.6613223577 0.349250281 0.571523884 -0.1210561314 -0.552045457
## 86135502 -0.1983680707 -0.643025712 0.183841722 0.4623711739 -0.433326769
## 861597 0.0769126070 0.148776905 0.262252261 0.4555666494 0.016642280
## 861598 -0.1736551116 0.614011283 0.283254129 0.3987023515 0.741940542
## 861648 0.2995505173 0.128752056 -0.246304891 0.5210683990 0.724144967
## 861799 -1.7255946363 -0.786058401 0.116745956 0.1441268207 0.937374393
## 861853 0.0957807360 0.413725996 0.390523505 -0.5899606072 0.049407605
## 862009 -0.5677543179 0.395718555 0.058107568 -0.4912485698 0.148850187
## 862028 -1.0421552988 -0.283564277 0.637899776 -0.2969722678 0.609344020
## 86208 0.0004244298 -0.292506839 -0.580370555 0.4991648297 -0.644167720
## 86211 -0.0225249946 1.596299697 0.179428829 0.4099629648 0.585191831
## 862261 1.1157841763 0.148452301 -0.906614963 -0.3165086702 -0.329894644
## 862485 0.4844971328 -0.290694588 0.057293175 -0.3825068496 -0.146550183
## 862548 -0.5060704070 0.634423963 -0.237141676 0.1392901935 -0.407700886
## 862717 0.0029648840 0.062601958 0.797723981 -0.2095356865 0.237747713
## 862722 1.4116521142 0.324334412 -0.505544952 -0.1898542596 -0.610239332
## 862965 -0.2377974400 0.513345470 0.454774516 0.1528759939 -0.443071154
## 862980 -0.5084776263 -0.051816347 0.885904532 0.1673165990 0.020059110
## 862989 0.1577998775 0.592437419 0.477922672 0.6483605373 -0.021288531
## 863030 0.5190182681 0.919491499 0.024774004 -0.5966611023 -0.564911664
## 863031 -0.4979118440 0.452844869 0.527102050 -0.4592233167 -0.154806897
## 863270 0.1231328050 0.263560697 0.289616641 -0.1759008102 0.066405975
## 86355 -0.0954075198 0.767942841 0.627017416 -1.0979068211 0.090596486
## 864018 0.2115695617 -1.388075349 0.448512027 -0.6290141193 -0.320799033
## 864033 0.2037178296 -1.218964989 -0.570481422 -0.7426654271 0.327746967
## 86408 -1.0401187280 0.120431563 -0.227163027 0.3361622567 0.650777643
## 86409 0.4111745398 0.970303417 -0.535303964 -0.2484248020 -0.284942699
## 864292 0.1057625720 0.713697894 -0.410313572 0.6957360576 0.313444155
## 864496 0.5119879213 -0.337466388 0.678858808 -0.4910440978 0.287039611
## 864685 0.4595072608 -0.488509104 0.354100824 0.4414446401 0.262233097
## 864726 -0.9185965070 -1.898086528 0.154241095 -0.4446864733 1.325817930
## 864729 -0.2067958374 0.209629326 0.284564474 -0.0334444954 -0.350864753
## 864877 0.4264319465 -0.275527717 0.357573419 0.0964420085 -0.621096064
## 865128 -0.9917687699 -1.044205851 -0.483438131 -0.3707162449 -0.461739260
## 865137 0.0569341545 -0.463647307 0.245730642 -0.4929124233 -0.400226119
## 86517 -0.2505498519 0.361729650 -0.241886354 0.1402872611 -0.884232338
## 865423 -1.2957391097 -0.792061520 -1.694971898 -0.0776531867 -1.605406626
## 865432 -0.5030415897 1.294717404 -0.091526472 -0.3633815227 -0.169709366
## 865468 -0.1912870373 -0.070698364 -0.197988493 -0.4727441430 -0.362363688
## 86561 0.3213445519 0.269963020 -0.171115561 0.2946382608 -0.110403142
## 866083 -0.0415938395 -0.272031126 0.771906177 -0.0588503290 -0.072071812
## 866203 -0.1445960967 0.172105084 0.253497334 0.2448693537 -0.527253976
## 866458 -1.2652594966 0.721508750 -0.385475878 0.5934329421 1.402586521
## 866674 -0.7403080258 0.634019823 -0.195963883 0.7616033847 -0.572576039
## 866714 0.3144589921 -0.222639255 -0.683091883 -0.0068671508 0.126816678
## 8670 -0.6210090246 0.214754724 0.669006569 0.1309451308 -0.107029230
## 86730502 -0.3132321125 0.524909363 0.333859949 0.7119644915 -0.317576548
## 867387 -0.8388130034 0.525219945 -0.232429603 0.2414018451 0.108520078
## 867739 -0.1387712566 -0.400629913 0.015768321 -0.1420031613 -0.789606706
## 868202 -0.3170822284 -0.423054123 0.296085713 -0.1660916070 -0.329505157
## 868223 -0.0047169897 1.745367912 0.054013249 -1.3406194472 -0.353033591
## 868682 -0.4386830029 0.624428298 0.431789796 -0.1857668917 0.236340337
## 868826 -0.5628536813 -0.555419588 1.433116172 -1.8906385275 1.531930455
## 868871 -1.3946449979 0.617942137 0.193853924 0.0783272296 0.970602631
## 868999 1.1324945722 -0.264624374 -0.047778911 0.4226037049 -0.575442560
## 869104 0.5618521558 0.297047282 0.162636806 0.0261558272 -0.343156256
## 869218 0.1691115541 0.976926700 -0.507861462 -0.6639930913 0.089613812
## 869224 0.0989681910 -0.372823313 -0.071154664 -0.2542790364 0.036775131
## 869254 0.3467449413 -0.147442289 -0.015463023 -0.7720259012 -0.172759701
## 869476 1.3607862474 -0.371332854 -1.206190790 1.1885364740 0.545356609
## 869691 -0.7872305021 0.097521762 -0.086192705 -0.6385226560 0.266675473
## 86973701 0.6731568921 0.319662491 -1.417845937 0.0564845959 -0.336633147
## 86973702 -0.8854496990 0.372603697 0.234052632 -0.2163808465 0.440640427
## 869931 0.4895595362 0.223726132 -0.053221807 -0.1308288722 0.216156546
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## 901034301 1.2894520107 0.255403446 0.745715181 -0.7847461519 0.140884039
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## 9011494 -0.7970441849 -0.245890513 -0.272785401 -0.3651742847 1.161832358
## 9011495 -0.0645026624 -0.560973305 0.467678796 -0.3926243393 0.002548720
## 9011971 1.4919773252 -0.496542165 0.708345052 -0.0169532931 -1.271239171
## 9012000 0.8442636938 0.636164367 -0.204859009 0.1625337312 0.578136791
## 9012315 -0.9407899084 -0.869846292 0.423379905 -0.4379865500 -0.098682436
## 9012568 -0.4793053363 -0.220678981 -0.323424153 0.3717467237 0.031865243
## 9012795 -1.1782462018 1.518653064 -1.823630553 0.5338030161 -0.776581336
## 901288 -0.7467180332 -0.695323516 -0.378361717 -0.3918087362 -0.418798901
## 9013005 0.0938490707 -0.344280981 -0.066635392 0.5216969893 -0.044703429
## 901303 -0.2614574286 0.536962646 -0.783668674 1.0015978141 0.387857372
## 901315 -0.3217196360 0.885498583 1.237510046 1.2853970174 -0.412380050
## 9013579 0.3139548052 -0.557032840 0.002152141 0.3847686640 0.490624019
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## 9013838 0.5558930985 -0.315289940 0.568236652 -1.3305107926 0.382416123
## 901549 -0.3265681118 0.841546961 0.281467270 -0.2092956126 0.023040886
## 901836 0.1107862663 0.294876597 0.346448987 0.2913150267 -0.228523015
## 90250 0.6410425845 -0.019752353 -1.081107861 -0.6097535576 1.111573387
## 90251 0.8239055160 -0.169622036 -0.256319858 0.1735146645 -0.065049702
## 902727 -0.1400589671 -0.134319768 0.133553755 -0.3932263761 0.052047232
## 90291 -1.2036581988 -0.193479374 0.611419040 -0.2077215786 0.059462620
## 902975 0.5372471084 0.120920306 0.128158478 -0.3976112633 -0.116472278
## 902976 0.3369059661 -0.144015062 0.021957292 0.2938631449 -0.022465320
## 903011 0.7048671644 -0.198298707 0.173642809 1.4348701722 -0.571734777
## 90312 -2.5925659101 0.988134973 -0.261475490 0.1414039098 -0.131779797
## 90317302 0.3242076866 0.190087018 0.241888734 -0.0729502673 0.257458994
## 903483 1.5475878305 -0.444033150 -0.620675476 0.8826008510 -1.208782259
## 903507 -0.0050197039 0.316577899 0.564083320 -0.6156462037 -0.206405193
## 903516 -0.4029431540 0.372494053 -0.926441986 0.1201789382 -0.246691921
## 903554 -0.5411420517 0.397793364 0.113082074 -0.1676621390 -0.336083811
## 903811 -0.6426712317 0.749554481 -0.569956095 -0.1439670700 -0.300752016
## 90401601 -1.0668559939 0.971925397 0.503561293 -0.2890358887 0.165331700
## 90401602 -0.0995017006 0.539132750 0.148387464 -0.2783778826 0.479277878
## 904302 1.2376399689 -0.109921920 0.120093235 -0.1420028943 -0.519969435
## 904357 0.6871762127 0.258398388 0.479129168 0.2528963004 -0.440310179
## 90439701 -0.2859010637 0.218312252 -0.496045403 -0.4166135405 -0.438206909
## 904647 -0.0520373351 0.085710694 0.268108418 -0.5865594042 -0.758587193
## 904689 0.2056036891 0.168971978 -0.140625905 0.1210694614 0.150337906
## 9047 0.0225694328 0.698185070 -0.069564406 -0.2315344151 0.109155653
## 904969 -0.2936325230 -0.407229995 -0.043375151 -0.6090000775 0.610142878
## 904971 0.0553933955 0.185171279 -0.011947767 -0.9140086363 0.387078954
## 905189 -0.5350338384 0.436699305 -0.283793452 0.1341185165 -0.094267600
## 905190 0.7878753397 0.029225670 -0.455179924 0.0062052408 -0.105270793
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## 905501 -0.5745969577 0.221364008 0.333111833 -0.2584899018 -0.318697241
## 905502 -0.0341846701 0.193174732 0.476183993 -0.6798151650 -0.677671343
## 905520 -0.0186481656 0.896362158 0.189516651 -0.3990721033 -0.063369501
## 905539 1.2889735007 -0.311529970 -0.208444094 -0.6821807718 0.156790292
## 905557 0.1692927893 0.303507283 -0.023140989 0.4959808194 -0.001625438
## 905680 -0.5471226180 -0.849327394 0.368361131 0.2919367892 0.119265127
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## 905978 -0.1884663582 -0.156368535 -0.283818610 -0.0656566128 -0.933175325
## 90602302 2.5023943225 -0.056270488 1.908727005 0.0312926640 0.568446712
## 906024 0.6754089610 -0.295097428 -0.499193238 0.0692051297 -0.367942018
## 906290 0.0754607928 0.124933842 -0.160893226 -0.5877873340 0.244338863
## 906539 0.0754987298 0.045200434 0.778613227 0.3058606674 -0.775878601
## 906564 0.3651157986 0.498157183 -0.711742176 0.0052272732 0.230666382
## 906616 -0.7274351177 0.590751188 0.733215705 -0.1561666581 0.784287378
## 906878 -0.0888980901 0.594727093 0.241075301 0.1971506440 0.348665710
## 907145 0.6990198575 -0.021404230 0.814478925 1.3128052104 0.039388237
## 907367 0.9938632467 0.373519271 0.178584068 0.3765056070 -0.105409000
## 907409 0.5109650849 0.068952658 0.529911757 -0.2080990691 -0.098066039
## 90745 -0.1387719046 0.215789438 1.148416888 0.3339800541 -0.294018385
## 90769601 0.2262523820 0.059322537 -0.221416174 -0.1343794131 0.075191001
## 90769602 0.0501820538 -0.579122858 -0.197427671 -0.2002923800 0.409537036
## 907914 -0.6492623125 0.204735773 0.498195417 -0.3822299065 1.011034162
## 907915 -0.0511584766 0.093881253 -0.626421919 0.1094714105 -0.196847173
## 908194 -2.2544646797 -0.466263010 -0.779551562 -0.4944820815 -0.153839783
## 908445 -0.3229932215 0.184135669 -0.211715686 -0.1099176849 -0.370490599
## 908469 -0.2352388721 -0.258165645 -0.232065607 0.1692935309 0.201968069
## 908489 -0.0010498906 0.127505394 -0.009932973 -0.4806494971 -0.094637704
## 908916 0.6728863814 -0.317435674 0.138036068 0.5451107699 0.375750654
## 909220 -0.0034491992 -0.433572768 -0.140699333 0.1874799788 -0.292076005
## 909231 0.1462143751 0.377690612 -0.542497574 -0.2190587029 -0.078430690
## 909410 -0.2351662467 0.290218440 0.059239661 0.5054990744 0.314208108
## 909411 -0.1347436553 -0.336778691 0.554968936 -1.1858618222 0.263217116
## 909445 -0.8135868399 -0.909974880 -0.011726962 -0.7359070393 0.127443698
## 90944601 0.6826624088 -0.219293278 -0.308724084 0.2824428958 0.408904198
## 909777 -0.8902959516 1.094199056 0.255568406 1.5382410183 -1.438452742
## 9110127 -0.4567092765 0.067773791 -0.449875463 0.0829893004 -0.375278992
## 9110720 -0.4977435511 0.227881449 0.450993502 0.6764541937 1.113054181
## 9110732 -0.4691884880 -0.028367892 0.235193368 -0.1530934151 0.024414131
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## 911150 -0.1010876325 0.373277438 -0.072018973 -0.8150752476 -0.254891123
## 911157302 -0.6695517414 0.494477666 -0.504225601 -0.3499116171 -0.304759560
## 9111596 0.9291469178 -0.519441949 -0.838453134 -0.3223334058 0.282046443
## 9111805 -2.4021852235 -0.892011579 -0.152064160 0.0759597638 -0.377946437
## 9111843 0.0429605111 -0.189466889 0.115269170 0.4091777819 0.174111125
## 911201 -0.5070647518 0.404778479 -0.553293100 -0.1734093525 0.331494073
## 911202 -0.1503289773 -0.049308997 0.506948394 0.1720798859 -0.179513237
## 9112085 0.3364916499 0.494756697 -0.147821627 0.1016758719 0.797047053
## 9112366 -0.7491044280 -0.224370438 0.477457642 -0.5361690702 -0.204478448
## 9112367 -0.3612489115 0.006881983 0.436844123 0.3019340195 -0.035684549
## 9112594 -0.1794272022 -0.043697576 0.510127264 0.6733694070 0.312084352
## 9112712 0.2304236421 0.114637527 0.665361229 0.3199077091 0.389759897
## 911296201 1.1146528459 -1.117284997 0.689040819 0.5537425764 0.174174817
## 911296202 4.9581336925 -0.886731866 3.591598013 -0.5871910850 -0.303026281
## 9113156 -0.0462299464 -0.531369578 0.383751065 1.0189269660 0.339949255
## 911320501 -0.0765341769 -1.082624362 0.163092490 -0.4963524427 0.048554101
## 911320502 -0.3129584449 -0.594959424 0.256698161 -0.1600514117 0.197027639
## 9113239 1.4700860059 -0.804221019 -0.005541270 -0.4061653296 0.010409429
## 9113455 -0.2170958245 -0.809387767 0.563504122 -0.5881572108 0.439378419
## 9113514 0.6404792504 -1.356209300 -0.068321249 -0.3122139454 -0.364180390
## 9113538 2.0225405128 0.483563669 -0.679068588 0.6046420108 0.535093911
## 911366 -0.9408861129 -0.133959458 0.374829645 0.0300465387 -0.031264444
## 9113778 0.4955679709 0.271493006 1.207045823 0.9402146855 -0.426781323
## 9113816 0.3193046533 1.032390830 0.608291184 0.3973472073 0.143857161
## 911384 0.2799737367 0.064837589 0.000246286 0.1024202377 -0.061735650
## 9113846 0.9246961441 1.085823439 -1.206656818 -0.4839705795 -0.924547217
## 911391 1.2867603886 0.403282990 0.138807336 0.2209332151 0.138131568
## 911408 -0.3444775333 -0.345062063 0.425223320 -0.3655267250 -0.080959244
## 911654 0.2225068454 0.195224752 0.027736360 -0.4073010683 1.085108710
## 911673 0.5365858519 -0.041952920 -0.041897079 0.7863400612 -0.234743745
## 911685 0.2726963978 0.651189204 0.259076986 -0.5098708464 -0.571209393
## 911916 -1.5668970121 -0.294290441 -0.135446630 0.2353454104 0.359354672
## 912193 0.6168567753 0.360787470 -0.185386117 -0.6053952951 0.210596861
## 91227 0.5596010017 0.238972704 0.281984868 0.2297284929 -0.182316821
## 912519 0.0341998123 0.556776251 -0.410366430 -0.0001525405 0.270190534
## 912558 -0.2363141916 1.110535207 0.404965671 0.0866869538 0.200475839
## 912600 -1.0374933742 0.281339803 -0.273903950 -0.2516387236 -0.234680765
## 913063 -0.0074068986 0.103548840 0.620787469 0.0066500562 0.430098593
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## 913505 -0.6249667494 0.532054753 -0.572942001 -0.7416972638 -0.910120607
## 913512 -0.3426305869 0.107911866 0.387462633 -0.0895571414 0.136164018
## 913535 0.1681848622 -1.037468192 -0.233454240 0.5205880964 -0.488433850
## 91376701 0.6719224926 -0.478277765 0.094544374 -0.0149590726 -0.118056633
## 91376702 0.1223216364 0.339129401 -0.965159125 -0.6851658328 -0.236364830
## 914062 -0.1972060738 -0.161505829 0.030338925 0.5659987102 0.083064008
## 914101 0.2686459455 -0.516024743 -1.234008136 0.0270632156 -0.573934139
## 914102 0.4685793512 -0.573882748 -0.356776050 0.2895432749 -0.295988005
## 914333 -1.0429086282 0.759487730 -0.479171345 -0.6395383847 0.231234573
## 914366 0.4096827364 -0.141544270 -0.126704802 -0.5507565750 0.610689995
## 914580 0.0982391416 -0.007360691 0.100535897 -0.5819463924 0.300126379
## 914769 0.6339022355 0.059087104 -0.286816236 0.3931897963 -0.353942968
## 91485 -0.5729903088 0.649548750 -0.535576844 0.2509909032 -0.312833478
## 914862 0.7049106403 1.345754994 -0.488514486 0.4163000633 0.524760738
## 91504 0.2069805672 -0.080099530 -0.051659333 0.9747986067 0.078581127
## 91505 -1.0452388229 -0.209946317 -0.039368061 -0.1874087571 0.144988459
## 915143 1.1529703725 -0.991695109 0.167376682 -0.5695827223 0.568692192
## 915186 1.0250951989 2.028889513 -0.236610613 1.1453491173 1.080449875
## 915276 0.6042606963 -1.278500206 -1.872556795 1.0201289746 -0.532755725
## 91544001 -0.1359505647 0.665044251 0.777877875 0.9392975863 -0.085401709
## 91544002 0.4881934312 -0.255064594 -0.906528375 1.2755281468 -0.108770577
## 915452 -1.4088879023 -0.297979389 -0.073731957 0.6470988652 -0.019377981
## 915460 -1.0533691956 0.356568603 -0.428904878 -0.7303104811 0.315947790
## 91550 0.5472551225 -0.542053825 -0.617650801 -0.0916288468 0.484421963
## 915664 -0.8752970956 -0.295663965 -0.033414237 0.3412769300 0.031575776
## 915691 0.3929176231 0.614735076 0.714787485 0.1215931340 0.135649014
## 915940 -0.1758143289 0.255077079 0.311421297 -0.2139098582 -0.135202274
## 91594602 -0.1454686759 0.499925801 0.270529716 -0.4082811925 -0.064727834
## 916221 -1.0005231004 -0.306962199 0.655600375 -0.0907347030 0.451158779
## 916799 -0.5167539200 0.050028508 -0.131357405 0.2258787420 -0.378334890
## 916838 -0.0261084918 0.443355468 -0.658166813 0.5299438963 -0.307955690
## 917062 0.7480548590 1.375305788 -0.257540461 -0.2080778673 1.360660429
## 917080 0.1942744924 0.462310866 0.357702019 0.7940768989 -0.102785755
## 917092 -0.8140726857 -0.987108671 -0.070507407 -0.0537361968 0.612723387
## 91762702 0.9611743974 0.397621795 -1.256638663 0.8486917334 -0.051582825
## 91789 0.7218828231 0.508127340 0.060557805 0.3878654534 -0.033046285
## 917896 0.1391868086 0.295156517 -0.243768633 0.0023377369 0.355608475
## 917897 0.9527774834 -0.299971512 -0.503892654 -0.7846233548 0.277677070
## 91805 0.8160391133 -0.373064638 0.292981675 -0.3609872357 -0.198384362
## 91813701 -0.0462160782 -0.125638066 0.312293703 -0.2469249564 0.309372372
## 91813702 -0.0944504391 0.149150397 0.318904984 -0.2288534014 -0.231142007
## 918192 -1.7109061685 2.408540813 0.332918111 -0.1176166151 -0.219224214
## 918465 -0.0288485824 -0.205098471 0.032406632 -0.3895059803 0.216413846
## 91858 0.0869517853 1.295452125 0.161515938 -0.9103205148 0.451754145
## 91903901 0.4730366470 -0.069618747 0.543463275 0.0572082633 -0.086230934
## 91903902 0.4337496082 0.168973422 0.024829540 0.3191275798 -0.001336357
## 91930402 -0.7275859760 0.757319150 -0.175980334 0.2702433954 -0.166751294
## 919537 -0.7176961616 0.139629661 0.188290346 -0.3701820155 0.025043256
## 919555 -0.5430102167 0.951930849 -0.247809950 0.5286878926 0.119327440
## 91979701 -1.1495594767 1.091132033 0.323915796 -0.1038818740 -0.464140951
## 919812 -0.4830815304 0.501982823 -0.069804388 1.2788258192 0.664816782
## 921092 2.1668488112 -1.479915189 -0.322804378 1.1801175946 -0.458713646
## 921362 0.1913668076 -1.796559226 0.876067543 0.9484780485 -0.391631186
## 921385 -0.6771595730 0.146514414 -0.291391323 0.1026424111 -0.459932233
## 921386 0.3979358310 -0.835301076 -0.383809102 0.6190792834 0.266156193
## 921644 -0.4663049042 0.398228821 0.364670551 0.7941292239 0.344308231
## 922296 -0.4148574879 0.507946096 0.278027691 0.2875814970 0.754494648
## 922297 0.5238585798 0.300437607 -0.356308724 0.4182343622 0.378936346
## 922576 -0.1161527345 -0.013618636 0.058006015 0.1323174915 0.365464087
## 922577 0.2596286888 0.149437375 0.564356936 0.5746698535 -0.337592217
## 922840 0.0640445882 -0.970113001 -0.454875027 0.0952997770 -0.043766957
## 923169 0.4740694793 -0.169694808 0.410188208 -0.2194120652 -0.048982818
## 923465 1.0210226174 -0.160349809 0.446749349 0.3987268089 -0.110930947
## 923748 0.7520064103 -1.069484886 -0.588800008 0.0688498920 0.128935162
## 923780 0.3901520318 0.873654798 0.310967487 0.3653727356 0.349763750
## 924084 -0.6178681677 -0.938396865 0.362221796 0.4485215927 0.644600706
## 924342 -0.3073955477 -0.357594218 -0.143055766 -0.4514830478 0.301796214
## 924632 -0.4839795902 -0.892397382 0.435103530 0.2439245685 0.098400188
## 924934 -1.0878956916 -0.349885533 0.514611257 -0.0049422107 0.135366891
## 924964 -0.4706597676 -0.071321985 -0.701263764 -0.0705817127 0.187702105
## 925236 1.0763071056 -0.129380621 -0.426655069 -0.2770426795 -0.372813857
## 925277 -0.2900018002 0.312069081 -0.067804247 -0.3254840515 0.907324382
## 925291 -0.3536636324 1.163315907 -0.207312716 -1.3904847631 -0.645197281
## 925292 -0.0485030055 0.195049336 -0.325578857 0.4286949972 1.315903353
## 925311 0.4879418774 1.288150901 -1.389256180 -1.7451271378 -0.569745725
## 925622 0.2712037562 -0.091882489 0.372148526 -0.6298691742 0.241409376
## 926125 0.0947410215 0.733436507 0.830362739 0.4502424273 0.747115186
## 926424 -0.5956056075 0.035439747 0.987060511 0.2567626672 0.062596180
## 926682 -0.7156966020 1.112380784 -0.105114917 -0.1085369986 -0.244588350
## 926954 -0.1925887705 -0.341586475 0.393570521 0.5204194692 0.839772720
## 927241 0.2228855560 0.279992246 -0.541558028 -0.0892176149 0.178471102
## 92751 1.6974579729 -1.045433644 0.373772231 -0.0476836145 0.143967465
## PC12 PC13 PC14 PC15 diagnosis
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## 925622 -0.1284484850 1.010978343 -0.5618115101 -0.980066745 1
## 926125 0.5137902382 0.605723215 -0.9204421040 -0.160428761 1
## 926424 0.1232334490 -0.051677832 -0.4039342494 -0.652176589 1
## 926682 0.2225567578 -0.192467698 0.0155416535 0.069913471 1
## 926954 0.0963880851 0.157279563 0.2854397183 -0.090917772 1
## 927241 -0.6968480142 1.224117875 0.2185054033 -0.229389196 1
## 92751 -0.1793386428 0.678300647 -1.1696954484 -0.217152272 0dataset <- as.data.frame(dataset)# Plot the data
plot(dataset[,1], pch=16)
Y = dataset[,1]
X = 1:569
model <- lm(Y ~ X)
plot(dataset[,1], pch=16)
abline(model)
prediksi <- predict(model, dataset)
points(X, prediksi, col = "blue", pch=4)
library(e1071)
model <- svm(Y ~ X )
predictedY <- predict(model, dataset)
points(X, predictedY, col = "red", pch=4)
rmse <- function(error)
{
sqrt(mean(error^2))
}
error <- model$residuals # same as data$Y - predictedY
prediksionRMSE <- rmse(error) # 5.703778
prediksionRMSE## [1] 0.8165887# /!\ this time svrModel$residuals is not the same as data$Y - predictedY
# so we compute the error like this
error <- Y - predictedY
svrPredictionRMSE <- rmse(error) # 3.157061
svrPredictionRMSE## [1] 0.8165887# perform a grid search
tuneResult <- tune(svm, Y ~ X, data = dataset,
ranges = list(epsilon = seq(0,1,0.1), cost = 2^(2:9)))
print(tuneResult)##
## Parameter tuning of 'svm':
##
## - sampling method: 10-fold cross validation
##
## - best parameters:
## epsilon cost
## 0.6 512
##
## - best performance: 0.6668295# Draw the tuning graph
plot(tuneResult)
tuneResult <- tune(svm, Y ~ X, data = dataset,
ranges = list(epsilon = seq(0,0.2,0.01), cost = 2^(2:9)))
print(tuneResult)##
## Parameter tuning of 'svm':
##
## - sampling method: 10-fold cross validation
##
## - best parameters:
## epsilon cost
## 0.16 4
##
## - best performance: 0.6672464plot(tuneResult)
tunedModel <- tuneResult$best.model
tunedModelY <- predict(tunedModel, dataset)
error <- Y - tunedModelY
# this value can be different on your computer
# because the tune method randomly shuffles the data
tunedModelRMSE <- rmse(error) # 2.219642
tunedModelRMSE## [1] 0.8162807Y = dataset[,1]
X = 1:569
model <- lm(Y ~ X)
plot(dataset[,1], pch=16)
abline(model)
prediksi <- predict(model, dataset)
points(X, prediksi, col = "blue", pch=4)
library(e1071)
model <- svm(Y ~ X )
predictedY <- predict(model, dataset)
points(X, predictedY, col = "red", pch=4)
tunedModel <- tuneResult$best.model
tunedModelY <- predict(tunedModel, dataset)
points(X, tunedModelY, col = "yellow", pch=4)
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