## 3 Results
\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** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** \\ \hline BCC & 0.997713 & 0.000435 & 0.992518 & 0.001918 & 0.998454 & 0.000441 & 0.989201 & 0.003089 \\ SCC & 0.994121 & 0.000502 & 0.989432 & 0.002688 & 0.994789 & 0.000394 & 0.96442 & 0.002662 \\ MEL & 0.995564 & 0.000634 & 0.978523 & 0.00349 & 0.997998 & 0.000466 & 0.985882 & 0.003276 \\ AK & 0.994141 & 0.00064 & 0.969387 & 0.004028 & 0.997692 & 0.000405 & 0.983691 & 0.002828 \\ BKL & 0.994707 & 0.000585 & 0.982108 & 0.003661 & 0.9965 & 0.000433 & 0.975644 & 0.002831 \\ DF & 0.996077 & 0.00053 & 0.975942 & 0.003758 & 0.998964 & 0.0003 & 0.992662 & 0.00211 \\ NV & 0.995768 & 0.000637 & 0.987118 & 0.003555 & 0.996996 & 0.00054 & 0.979067 & 0.003622 \\ VASC & 0.998452 & 0.000227 & 0.991186 & 0.001829 & 0.999489 & 0.000202 & 0.996405 & 0.001409 \\ MEAN \(\pm\) 1 SD & 0.995818 & 0.001585 & 0.983277 & 0.008205 & 0.99761 & 0.001502 & 0.983371 & 0.01024 \\ \hline  & \multicolumn{4}{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** & \multicolumn{2}{c}{**MEAN**} & \(\pm\)**1 SD** \\ \hline BCC & 0.998902 & 0.000771 & 0.995155 & 0.003451 & 0.999443 & 0.000747 & 0.996129 & 0.005223 \\ SCC & 0.996671 & 0.001348 & 0.994984 & 0.006641 & 0.99692 & 0.001477 & 0.978896 & 0.009978 \\ MEL & 0.997328 & 0.001484 & 0.984985 & 0.011026 & 0.999095 & 0.000836 & 0.993616 & 0.005861 \\ AK & 0.996467 & 0.001355 & 0.981774 & 0.008303 & 0.998527 & 0.001044 & 0.989513 & 0.007158 \\ BKL & 0.99692 & 0.001044 & 0.99105 & 0.006158 & 0.997775 & 0.001073 & 0.984501 & 0.00745 \\ DF & 0.997656 & 0.00109 & 0.984903 & 0.008138 & 0.999431 & 0.000583 & 0.995944 & 0.004108 \\ NV & 0.997464 & 0.001555 & 0.99428 & 0.006072 & 0.99791 & 0.00166 & 0.98595 & 0.010578 \\ VASC & 0.998913 & 0.000538 & 0.993741 & 0.004151 & 0.999651 & 0.000327 & 0.997529 & 0.002344 \\ MEAN \(\pm\) 1 SD & 0.99754 & 0.000933 & 0.990109 & 0.005392 & 0.998594 & 0.000981 & 0.99026 & 0.006679 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Results for quadratic SVM. \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 & 0.999241 & 0.000701 & 0.997109 & 0.004113 & 0.999535 & 0.000714 & 0.996713 & 0.005081 \\ SCC & 0.994911 & 0.000667 & 0.998569 & 0.003459 & 0.999534 & 0.000685 & 0.996772 & 0.004838 \\ MEL & 0.999468 & 0.000548 & 0.998491 & 0.003087 & 0.999611 & 0.000568 & 0.997317 & 0.003941 \\ AK & 0.999207 & 0.000769 & 0.996019 & 0.004335 & 0.999665 & 0.000615 & 0.997598 & 0.004424 \\ BKL & 0.999343 & 0.000807 & 0.997474 & 0.005446 & 0.999612 & 0.000638 & 0.997301 & 0.004364 \\ DF & 0.999683 & 0.000527 & 0.999094 & 0.002063 & 0.999767 & 0.000507 & 0.998393 & 0.003469 \\ NV & 0.999162 & 0.000816 & 0.995287 & 0.00487 & 0.999716 & 0.000584 & 0.997986 & 0.004132 \\ VASC & 1 & 0 & 1 & 0 & 1 & 0 & 1 & 0 \\ MEAN \(\pm\) 1 SD & 0.99944 & 0.000281 & 0.997755 & 0.001587 & 0.99968 & 0.000153 & 0.99776 & 0.001067 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Results for fine Gaussian SVM.