## 3 Results
\begin{table}
\begin{tabular}{l c c c c c c c c} \hline \hline  & \multicolumn{4}{c}{**TRAINING SET**} \\ \hline  & \multicolumn{2}{c}{**ACCURACY**} & \multicolumn{2}{c}{**SENSITIVITY**} & \multicolumn{2}{c}{**SPECIFICITY**} & \multicolumn{2}{c}{**PRECISION**} \\
**LESION** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** \\ \hline BCC & 0.99101 & 0.000853 & 0.966399 & 0.004479 & 0.99452 & 0.000799 & 0.961846 & 0.005073 \\ SCC & 0.990489 & 0.000854 & 0.973897 & 0.005359 & 0.992855 & 0.000691 & 0.951129 & 0.004412 \\ MEL & 0.98292 & 0.001179 & 0.929858 & 0.006006 & 0.990501 & 0.000993 & 0.933329 & 0.006406 \\ AK & 0.990648 & 0.000956 & 0.961649 & 0.00594 & 0.994779 & 0.000829 & 0.963376 & 0.005514 \\ BKL & 0.987704 & 0.001124 & 0.94218 & 0.007959 & 0.994208 & 0.000832 & 0.958831 & 0.005584 \\ DF & 0.991358 & 0.000866 & 0.961126 & 0.005819 & 0.995669 & 0.000647 & 0.969407 & 0.004409 \\ NV & 0.978637 & 0.001198 & 0.930944 & 0.008927 & 0.985455 & 0.001282 & 0.901657 & 0.006904 \\ VASC & 0.994882 & 0.000687 & 0.964408 & 0.004778 & 0.999236 & 0.000312 & 0.994494 & 0.002249 \\ MEAN \(\pm\) 1 SD & 0.988456 & 0.005248 & 0.953808 & 0.016992 & 0.993403 & 0.00405 & 0.954259 & 0.02732 \\ \hline \hline \multicolumn{10}{c}{**TESTING SET**} \\ \hline  & \multicolumn{2}{c}{**ACCURACY**} & \multicolumn{2}{c}{**SENSITIVITY**} & \multicolumn{2}{c}{**SPECIFICITY**} & \multicolumn{2}{c}{**PRECISION**} \\
**LESION** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** \\ \hline BCC & 0.995143 & 0.001416 & 0.980286 & 0.006849 & 0.997283 & 0.001247 & 0.980993 & 0.008724 \\ SCC & 0.995709 & 0.001617 & 0.989698 & 0.008021 & 0.996571 & 0.001178 & 0.976347 & 0.008376 \\ MEL & 0.989232 & 0.002362 & 0.953552 & 0.012095 & 0.994358 & 0.001925 & 0.960311 & 0.013101 \\ AK & 0.995822 & 0.001604 & 0.982016 & 0.008189 & 0.997812 & 0.001377 & 0.984743 & 0.009674 \\ BKL & 0.993795 & 0.002086 & 0.967452 & 0.010927 & 0.997569 & 0.001363 & 0.982643 & 0.009614 \\ DF & 0.995958 & 0.001499 & 0.984228 & 0.007814 & 0.997658 & 0.001094 & 0.983658 & 0.007641 \\ NV & 0.985892 & 0.002686 & 0.957146 & 0.013847 & 0.989976 & 0.00227 & 0.931492 & 0.013995 \\ VASC & 0.997543 & 0.001159 & 0.982462 & 0.007462 & 0.99969 & 0.000459 & 0.997759 & 0.003378 \\ MEAN \(\pm\) 1 SD & 0.993637 & 0.003989 & 0.974605 & 0.013462 & 0.996365 & 0.002976 & 0.974743 & 0.020327 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Results for cubic k-NN. \begin{table}
\begin{tabular}{l c c c c c c c} \hline \hline  & \multicolumn{4}{c}{**TRAINING SET**} \\ \hline  & \multicolumn{2}{c}{**ACCURACY**} & \multicolumn{2}{c}{**SENSITIVITY**} & \multicolumn{2}{c}{**SPECIFICITY**} & \multicolumn{2}{c}{**PRECISION**} \\
**LESION** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** \\ \hline BCC & 0.977231 & 0.002806 & 0.950159 & 0.012809 & 0.98111 & 0.003381 & 0.876928 & 0.021674 \\ SCC & 0.970211 & 0.003376 & 0.883554 & 0.021992 & 0.982757 & 0.003779 & 0.880785 & 0.024607 \\ MEL & 0.962183 & 0.00427 & 0.067746 & 0.025005 & 0.975543 & 0.003754 & 0.03374 & 0.023414 \\ AK & 0.970652 & 0.003369 & 0.869158 & 0.015176 & 0.985198 & 0.003215 & 0.893751 & 0.021674 \\ BKL & 0.966769 & 0.003754 & 0.882164 & 0.019933 & 0.978868 & 0.003254 & 0.856108 & 0.020597 \\ DF & 0.972883 & 0.003797 & 0.859058 & 0.019839 & 0.989167 & 0.002575 & 0.919144 & 0.017968 \\ NV & 0.960417 & 0.003748 & 0.849669 & 0.027438 & 0.976155 & 0.004667 & 0.834863 & 0.027576 \\ VASC & 0.986458 & 0.002753 & 0.907463 & 0.018557 & 0.998054 & 0.000889 & 0.985479 & 0.006777 \\ MEAN \(\pm\) 1 SD & 0.97085 & 0.008363 & 0.883622 & 0.032105 & 0.983357 & 0.00748 & 0.8851 & 0.049853 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Results for weighted k-NN.