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`wisc_bc_data(in)` <- read.csv("C:/Users/singleton1097/Downloads/wisc_bc_data(in).csv")
View(`wisc_bc_data(in)`)
WBC<-`wisc_bc_data(in)`
dim(WBC)## [1] 569 32head(WBC)## id diagnosis radius_mean texture_mean perimeter_mean area_mean
## 1 842302 M 17.99 10.38 122.80 1001.0
## 2 842517 M 20.57 17.77 132.90 1326.0
## 3 84300903 M 19.69 21.25 130.00 1203.0
## 4 84348301 M 11.42 20.38 77.58 386.1
## 5 84358402 M 20.29 14.34 135.10 1297.0
## 6 843786 M 12.45 15.70 82.57 477.1
## smoothness_mean compactness_mean concavity_mean concave.points_mean
## 1 0.11840 0.27760 0.3001 0.14710
## 2 0.08474 0.07864 0.0869 0.07017
## 3 0.10960 0.15990 0.1974 0.12790
## 4 0.14250 0.28390 0.2414 0.10520
## 5 0.10030 0.13280 0.1980 0.10430
## 6 0.12780 0.17000 0.1578 0.08089
## symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se
## 1 0.2419 0.07871 1.0950 0.9053 8.589
## 2 0.1812 0.05667 0.5435 0.7339 3.398
## 3 0.2069 0.05999 0.7456 0.7869 4.585
## 4 0.2597 0.09744 0.4956 1.1560 3.445
## 5 0.1809 0.05883 0.7572 0.7813 5.438
## 6 0.2087 0.07613 0.3345 0.8902 2.217
## area_se smoothness_se compactness_se concavity_se concave.points_se
## 1 153.40 0.006399 0.04904 0.05373 0.01587
## 2 74.08 0.005225 0.01308 0.01860 0.01340
## 3 94.03 0.006150 0.04006 0.03832 0.02058
## 4 27.23 0.009110 0.07458 0.05661 0.01867
## 5 94.44 0.011490 0.02461 0.05688 0.01885
## 6 27.19 0.007510 0.03345 0.03672 0.01137
## symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst
## 1 0.03003 0.006193 25.38 17.33 184.60
## 2 0.01389 0.003532 24.99 23.41 158.80
## 3 0.02250 0.004571 23.57 25.53 152.50
## 4 0.05963 0.009208 14.91 26.50 98.87
## 5 0.01756 0.005115 22.54 16.67 152.20
## 6 0.02165 0.005082 15.47 23.75 103.40
## area_worst smoothness_worst compactness_worst concavity_worst
## 1 2019.0 0.1622 0.6656 0.7119
## 2 1956.0 0.1238 0.1866 0.2416
## 3 1709.0 0.1444 0.4245 0.4504
## 4 567.7 0.2098 0.8663 0.6869
## 5 1575.0 0.1374 0.2050 0.4000
## 6 741.6 0.1791 0.5249 0.5355
## concave.points_worst symmetry_worst fractal_dimension_worst
## 1 0.2654 0.4601 0.11890
## 2 0.1860 0.2750 0.08902
## 3 0.2430 0.3613 0.08758
## 4 0.2575 0.6638 0.17300
## 5 0.1625 0.2364 0.07678
## 6 0.1741 0.3985 0.12440str(WBC)## 'data.frame': 569 obs. of 32 variables:
## $ id : int 842302 842517 84300903 84348301 84358402 843786 844359 84458202 844981 84501001 ...
## $ diagnosis : chr "M" "M" "M" "M" ...
## $ radius_mean : num 18 20.6 19.7 11.4 20.3 ...
## $ texture_mean : num 10.4 17.8 21.2 20.4 14.3 ...
## $ perimeter_mean : num 122.8 132.9 130 77.6 135.1 ...
## $ area_mean : num 1001 1326 1203 386 1297 ...
## $ smoothness_mean : num 0.1184 0.0847 0.1096 0.1425 0.1003 ...
## $ compactness_mean : num 0.2776 0.0786 0.1599 0.2839 0.1328 ...
## $ concavity_mean : num 0.3001 0.0869 0.1974 0.2414 0.198 ...
## $ concave.points_mean : num 0.1471 0.0702 0.1279 0.1052 0.1043 ...
## $ symmetry_mean : num 0.242 0.181 0.207 0.26 0.181 ...
## $ fractal_dimension_mean : num 0.0787 0.0567 0.06 0.0974 0.0588 ...
## $ radius_se : num 1.095 0.543 0.746 0.496 0.757 ...
## $ texture_se : num 0.905 0.734 0.787 1.156 0.781 ...
## $ perimeter_se : num 8.59 3.4 4.58 3.44 5.44 ...
## $ area_se : num 153.4 74.1 94 27.2 94.4 ...
## $ smoothness_se : num 0.0064 0.00522 0.00615 0.00911 0.01149 ...
## $ compactness_se : num 0.049 0.0131 0.0401 0.0746 0.0246 ...
## $ concavity_se : num 0.0537 0.0186 0.0383 0.0566 0.0569 ...
## $ concave.points_se : num 0.0159 0.0134 0.0206 0.0187 0.0188 ...
## $ symmetry_se : num 0.03 0.0139 0.0225 0.0596 0.0176 ...
## $ fractal_dimension_se : num 0.00619 0.00353 0.00457 0.00921 0.00511 ...
## $ radius_worst : num 25.4 25 23.6 14.9 22.5 ...
## $ texture_worst : num 17.3 23.4 25.5 26.5 16.7 ...
## $ perimeter_worst : num 184.6 158.8 152.5 98.9 152.2 ...
## $ area_worst : num 2019 1956 1709 568 1575 ...
## $ smoothness_worst : num 0.162 0.124 0.144 0.21 0.137 ...
## $ compactness_worst : num 0.666 0.187 0.424 0.866 0.205 ...
## $ concavity_worst : num 0.712 0.242 0.45 0.687 0.4 ...
## $ concave.points_worst : num 0.265 0.186 0.243 0.258 0.163 ...
## $ symmetry_worst : num 0.46 0.275 0.361 0.664 0.236 ...
## $ fractal_dimension_worst: num 0.1189 0.089 0.0876 0.173 0.0768 ...WBC1<-WBC[-1]
dim(WBC1)## [1] 569 31str(WBC1)## 'data.frame': 569 obs. of 31 variables:
## $ diagnosis : chr "M" "M" "M" "M" ...
## $ radius_mean : num 18 20.6 19.7 11.4 20.3 ...
## $ texture_mean : num 10.4 17.8 21.2 20.4 14.3 ...
## $ perimeter_mean : num 122.8 132.9 130 77.6 135.1 ...
## $ area_mean : num 1001 1326 1203 386 1297 ...
## $ smoothness_mean : num 0.1184 0.0847 0.1096 0.1425 0.1003 ...
## $ compactness_mean : num 0.2776 0.0786 0.1599 0.2839 0.1328 ...
## $ concavity_mean : num 0.3001 0.0869 0.1974 0.2414 0.198 ...
## $ concave.points_mean : num 0.1471 0.0702 0.1279 0.1052 0.1043 ...
## $ symmetry_mean : num 0.242 0.181 0.207 0.26 0.181 ...
## $ fractal_dimension_mean : num 0.0787 0.0567 0.06 0.0974 0.0588 ...
## $ radius_se : num 1.095 0.543 0.746 0.496 0.757 ...
## $ texture_se : num 0.905 0.734 0.787 1.156 0.781 ...
## $ perimeter_se : num 8.59 3.4 4.58 3.44 5.44 ...
## $ area_se : num 153.4 74.1 94 27.2 94.4 ...
## $ smoothness_se : num 0.0064 0.00522 0.00615 0.00911 0.01149 ...
## $ compactness_se : num 0.049 0.0131 0.0401 0.0746 0.0246 ...
## $ concavity_se : num 0.0537 0.0186 0.0383 0.0566 0.0569 ...
## $ concave.points_se : num 0.0159 0.0134 0.0206 0.0187 0.0188 ...
## $ symmetry_se : num 0.03 0.0139 0.0225 0.0596 0.0176 ...
## $ fractal_dimension_se : num 0.00619 0.00353 0.00457 0.00921 0.00511 ...
## $ radius_worst : num 25.4 25 23.6 14.9 22.5 ...
## $ texture_worst : num 17.3 23.4 25.5 26.5 16.7 ...
## $ perimeter_worst : num 184.6 158.8 152.5 98.9 152.2 ...
## $ area_worst : num 2019 1956 1709 568 1575 ...
## $ smoothness_worst : num 0.162 0.124 0.144 0.21 0.137 ...
## $ compactness_worst : num 0.666 0.187 0.424 0.866 0.205 ...
## $ concavity_worst : num 0.712 0.242 0.45 0.687 0.4 ...
## $ concave.points_worst : num 0.265 0.186 0.243 0.258 0.163 ...
## $ symmetry_worst : num 0.46 0.275 0.361 0.664 0.236 ...
## $ fractal_dimension_worst: num 0.1189 0.089 0.0876 0.173 0.0768 ...table(WBC1$diagnosis)##
## B M
## 357 212WBC1$diagnosis <- factor(WBC1$diagnosis, level = c("B", "M"), labels = c("Benign", "Malignant"))
table(WBC1$diagnosis)##
## Benign Malignant
## 357 212round(prop.table(table(WBC1$diagnosis)))##
## Benign Malignant
## 1 0round(prop.table(table(WBC1$diagnosis))*100, digits = 1)##
## Benign Malignant
## 62.7 37.3summary(WBC1[c("radius_mean", "area_mean", "smoothness_mean")])## radius_mean area_mean smoothness_mean
## Min. : 6.981 Min. : 143.5 Min. :0.05263
## 1st Qu.:11.700 1st Qu.: 420.3 1st Qu.:0.08637
## Median :13.370 Median : 551.1 Median :0.09587
## Mean :14.127 Mean : 654.9 Mean :0.09636
## 3rd Qu.:15.780 3rd Qu.: 782.7 3rd Qu.:0.10530
## Max. :28.110 Max. :2501.0 Max. :0.16340normalize<-function(x){}
normalize<-function(x){ return ((x - min(x)) / (max(x) - min(x)))}
normalize(c(1,2,3,4,5))## [1] 0.00 0.25 0.50 0.75 1.00normalize(c(10,20,30,40,50))## [1] 0.00 0.25 0.50 0.75 1.00wbc_N<-as.data.frame( lapply(WBC1[2:31], normalize))
head(wbc_N)## radius_mean texture_mean perimeter_mean area_mean smoothness_mean
## 1 0.5210374 0.0226581 0.5459885 0.3637328 0.5937528
## 2 0.6431445 0.2725736 0.6157833 0.5015907 0.2898799
## 3 0.6014956 0.3902604 0.5957432 0.4494168 0.5143089
## 4 0.2100904 0.3608387 0.2335015 0.1029056 0.8113208
## 5 0.6298926 0.1565776 0.6309861 0.4892895 0.4303512
## 6 0.2588386 0.2025702 0.2679842 0.1415058 0.6786133
## compactness_mean concavity_mean concave.points_mean symmetry_mean
## 1 0.7920373 0.7031396 0.7311133 0.6863636
## 2 0.1817680 0.2036082 0.3487575 0.3797980
## 3 0.4310165 0.4625117 0.6356859 0.5095960
## 4 0.8113613 0.5656045 0.5228628 0.7762626
## 5 0.3478928 0.4639175 0.5183897 0.3782828
## 6 0.4619962 0.3697282 0.4020378 0.5186869
## fractal_dimension_mean radius_se texture_se perimeter_se area_se
## 1 0.6055181 0.35614702 0.12046941 0.36903360 0.27381126
## 2 0.1413227 0.15643672 0.08258929 0.12444047 0.12565979
## 3 0.2112468 0.22962158 0.09430251 0.18037035 0.16292179
## 4 1.0000000 0.13909107 0.17587518 0.12665504 0.03815479
## 5 0.1868155 0.23382220 0.09306489 0.22056260 0.16368757
## 6 0.5511794 0.08075321 0.11713225 0.06879329 0.03808008
## smoothness_se compactness_se concavity_se concave.points_se symmetry_se
## 1 0.1592956 0.35139844 0.13568182 0.3006251 0.31164518
## 2 0.1193867 0.08132304 0.04696970 0.2538360 0.08453875
## 3 0.1508312 0.28395470 0.09676768 0.3898466 0.20569032
## 4 0.2514532 0.54321507 0.14295455 0.3536655 0.72814769
## 5 0.3323588 0.16791841 0.14363636 0.3570752 0.13617943
## 6 0.1970629 0.23431069 0.09272727 0.2153817 0.19372995
## fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst
## 1 0.1830424 0.6207755 0.1415245 0.6683102 0.45069799
## 2 0.0911101 0.6069015 0.3035714 0.5398177 0.43521431
## 3 0.1270055 0.5563856 0.3600746 0.5084417 0.37450845
## 4 0.2872048 0.2483102 0.3859275 0.2413467 0.09400806
## 5 0.1457996 0.5197439 0.1239339 0.5069476 0.34157491
## 6 0.1446596 0.2682319 0.3126333 0.2639076 0.13674794
## smoothness_worst compactness_worst concavity_worst concave.points_worst
## 1 0.6011358 0.6192916 0.5686102 0.9120275
## 2 0.3475533 0.1545634 0.1929712 0.6391753
## 3 0.4835898 0.3853751 0.3597444 0.8350515
## 4 0.9154725 0.8140117 0.5486422 0.8848797
## 5 0.4373638 0.1724151 0.3194888 0.5584192
## 6 0.7127386 0.4827837 0.4277157 0.5982818
## symmetry_worst fractal_dimension_worst
## 1 0.5984624 0.4188640
## 2 0.2335896 0.2228781
## 3 0.4037059 0.2134330
## 4 1.0000000 0.7737111
## 5 0.1575005 0.1425948
## 6 0.4770353 0.4549390wbcd_train <- wbc_N[1:469, ]
wbcd_test <- wbc_N[470:569, ]
wbcd_train_labels<-wbc_N[1:469, 1]
wbcd_test_labels<-WBC1[470:569, 1]
library(class)## Warning: package 'class' was built under R version 4.4.3wbcd_test_pred <- knn(train = wbcd_train, test = wbcd_test, cl = wbcd_train_labels, k=21)
wbcd_test_pred## [1] 0.202991149604809 0.214823228737754 0.226182024705381
## [4] 0.38851815040939 0.385678451417483 0.203937715935444
## [7] 0.218609494060296 0.266884376922713 0.319892091438308
## [10] 0.214823228737754 0.416441857163141 0.228075157366653
## [13] 0.29764778266837 0.193052203133135 0.325098206256803
## [16] 0.379525770268352 0.36248757631691 0.378105920772398
## [19] 0.587770363008188 0.223815608878792 0.280609588716929
## [22] 0.226182024705381 0.378105920772398 0.6067016896209
## [25] 0.287235553031379 0.31279284395854 0.378105920772398
## [28] 0.309006578635998 0.247006483979365 0.587770363008188
## [31] 0.587770363008188 0.288655402527332 0.187846088314639
## [34] 0.225708741540063 0.607174972786218 0.176487292347011
## [37] 0.204410999100762 0.239907236499598 0.119409342609683
## [40] 0.372899805953902 0.372899805953902 0.165601779544702
## [43] 0.29764778266837 0.307586729140045 0.372899805953902
## [46] 0.333617303232524 0.137015476359506 0.587770363008188
## [49] 0.499739694259075 0.27824317289034 0.273510341237162
## [52] 0.202991149604809 0.77093094798618 0.234701121681102
## [55] 0.27824317289034 0.218609494060296 0.137015476359506
## [58] 0.27824317289034 0.298121065833688 0.38425860192153
## [61] 0.197311751620995 0.27824317289034 0.273510341237162
## [64] 0.315159259785129 0.587770363008188 0.187372805149321
## [67] 0.587770363008188 0.313739410289176 0.253632448293814
## [70] 0.116191017085522 0.232334705854513 0.214823228737754
## [73] 0.352075346679919 0.305693596478773 0.13128875005916
## [76] 0.234227838515784 0.308060012305362 0.240380519664916
## [79] 0.137015476359506 0.178380425008282 0.25031946613659
## [82] 0.226182024705381 0.278716456055658 0.361541009986275
## [85] 0.166075062710019 0.246059917648729 0.253632448293814
## [88] 0.166075062710019 0.20062473377822 0.352075346679919
## [91] 0.237067537507691 0.308060012305362 0.1443040371054
## [94] 0.19399876946377 0.863221165223153 0.711297269156136
## [97] 0.593923044157319 0.37763263760708 0.603388707463676
## [100] 0.0575039045861139
## 385 Levels: 0 0.0575039045861139 0.0585924558663448 ... 1library(gmodels)## Warning: package 'gmodels' was built under R version 4.4.3CrossTable(x = wbcd_test_labels, y = wbcd_test_pred, prop.chisq = FALSE)##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 100
##
##
## | wbcd_test_pred
## wbcd_test_labels | 0.0575039045861139 | 0.116191017085522 | 0.119409342609683 | 0.13128875005916 | 0.137015476359506 | 0.1443040371054 | 0.165601779544702 | 0.166075062710019 | 0.176487292347011 | 0.178380425008282 | 0.187372805149321 | 0.187846088314639 | 0.193052203133135 | 0.19399876946377 | 0.197311751620995 | 0.20062473377822 | 0.202991149604809 | 0.203937715935444 | 0.204410999100762 | 0.214823228737754 | 0.218609494060296 | 0.223815608878792 | 0.225708741540063 | 0.226182024705381 | 0.228075157366653 | 0.232334705854513 | 0.234227838515784 | 0.234701121681102 | 0.237067537507691 | 0.239907236499598 | 0.240380519664916 | 0.246059917648729 | 0.247006483979365 | 0.25031946613659 | 0.253632448293814 | 0.266884376922713 | 0.273510341237162 | 0.27824317289034 | 0.278716456055658 | 0.280609588716929 | 0.287235553031379 | 0.288655402527332 | 0.29764778266837 | 0.298121065833688 | 0.305693596478773 | 0.307586729140045 | 0.308060012305362 | 0.309006578635998 | 0.31279284395854 | 0.313739410289176 | 0.315159259785129 | 0.319892091438308 | 0.325098206256803 | 0.333617303232524 | 0.352075346679919 | 0.361541009986275 | 0.36248757631691 | 0.372899805953902 | 0.37763263760708 | 0.378105920772398 | 0.379525770268352 | 0.38425860192153 | 0.385678451417483 | 0.38851815040939 | 0.416441857163141 | 0.499739694259075 | 0.587770363008188 | 0.593923044157319 | 0.603388707463676 | 0.6067016896209 | 0.607174972786218 | 0.711297269156136 | 0.77093094798618 | 0.863221165223153 | Row Total |
## -----------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
## Benign | 1 | 1 | 1 | 1 | 3 | 1 | 1 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 1 | 3 | 2 | 1 | 1 | 3 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 4 | 1 | 0 | 1 | 1 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 2 | 1 | 1 | 2 | 0 | 3 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 |
## | 0.013 | 0.013 | 0.013 | 0.013 | 0.039 | 0.013 | 0.013 | 0.026 | 0.013 | 0.013 | 0.013 | 0.000 | 0.013 | 0.000 | 0.013 | 0.013 | 0.026 | 0.013 | 0.013 | 0.039 | 0.026 | 0.013 | 0.013 | 0.039 | 0.013 | 0.013 | 0.013 | 0.013 | 0.013 | 0.013 | 0.013 | 0.013 | 0.013 | 0.013 | 0.026 | 0.013 | 0.026 | 0.052 | 0.013 | 0.000 | 0.013 | 0.013 | 0.026 | 0.013 | 0.013 | 0.000 | 0.026 | 0.013 | 0.013 | 0.000 | 0.013 | 0.013 | 0.013 | 0.000 | 0.026 | 0.013 | 0.013 | 0.026 | 0.000 | 0.039 | 0.013 | 0.013 | 0.013 | 0.013 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.770 |
## | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.667 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | |
## | 0.010 | 0.010 | 0.010 | 0.010 | 0.030 | 0.010 | 0.010 | 0.020 | 0.010 | 0.010 | 0.010 | 0.000 | 0.010 | 0.000 | 0.010 | 0.010 | 0.020 | 0.010 | 0.010 | 0.030 | 0.020 | 0.010 | 0.010 | 0.030 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.020 | 0.010 | 0.020 | 0.040 | 0.010 | 0.000 | 0.010 | 0.010 | 0.020 | 0.010 | 0.010 | 0.000 | 0.020 | 0.010 | 0.010 | 0.000 | 0.010 | 0.010 | 0.010 | 0.000 | 0.020 | 0.010 | 0.010 | 0.020 | 0.000 | 0.030 | 0.010 | 0.010 | 0.010 | 0.010 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | |
## -----------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
## Malignant | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 23 |
## | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.043 | 0.000 | 0.043 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.043 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.043 | 0.000 | 0.000 | 0.000 | 0.043 | 0.000 | 0.000 | 0.000 | 0.043 | 0.000 | 0.000 | 0.000 | 0.043 | 0.043 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.043 | 0.043 | 0.261 | 0.043 | 0.043 | 0.043 | 0.043 | 0.043 | 0.043 | 0.043 | 0.230 |
## | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.333 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | |
## | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.010 | 0.000 | 0.010 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.010 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.010 | 0.000 | 0.000 | 0.000 | 0.010 | 0.000 | 0.000 | 0.000 | 0.010 | 0.000 | 0.000 | 0.000 | 0.010 | 0.010 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.010 | 0.010 | 0.060 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | |
## -----------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
## Column Total | 1 | 1 | 1 | 1 | 3 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 3 | 2 | 1 | 1 | 3 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 4 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 3 | 1 | 3 | 1 | 1 | 1 | 1 | 1 | 1 | 6 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 100 |
## | 0.010 | 0.010 | 0.010 | 0.010 | 0.030 | 0.010 | 0.010 | 0.020 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.020 | 0.010 | 0.010 | 0.030 | 0.020 | 0.010 | 0.010 | 0.030 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.020 | 0.010 | 0.020 | 0.040 | 0.010 | 0.010 | 0.010 | 0.010 | 0.020 | 0.010 | 0.010 | 0.010 | 0.020 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.020 | 0.010 | 0.010 | 0.030 | 0.010 | 0.030 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.060 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | 0.010 | |
## -----------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
##
## You can also embed plots, for example:
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