## 4 Results
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  &
\begin{tabular}{c} **SOM** \\ **Topology** \\ \end{tabular} & **VBo** & **SVBo** & \multicolumn{3}{c}{**VBo**} \\ \hline  & & **S** & **P+** & **S** & **P+** & **F Score** \\ \hline  & \(2\times 2\) & 0.85905 & 0.78189 & 0.98632 & 0.99191 & 0.81866 \\  & \(2\times 2\) & 0.0002 & 0.00052 & 0.00004 & 0.00001 & 0.0003 \\  & \(3\times 2\) & 0.89814 & 0.79383 & 0.98654 & 0.99115 & 0.84277 \\  & \(3\times 2\) & 0.00216 & 0.00071 & 0.00019 & 0.00407 & 0.00109 \\ SUPRA & \(3\times 3\) & 0.89386 & 0.77637 & 0.9853 & 0.99389 & 0.83095 \\  & \(3\times 3\) & 0.0046 & 0.00717 & 0.00067 & 0.00026 & 0.00299 \\  & \(4\times 3\) & 0.87991 & 0.79268 & 0.98368 & 0.99083 & 0.7909 \\  & \(4\times 3\) & 0.03701 & 0.09298 & 0.00667 & 0.00414 & 0.00551 \\  & \(4\times 4\) & 0.90934 & 0.68555 & 0.97617 & 0.99473 & 0.78168 \\  & \(0.00798\) & 0.014 & 0.00152 & 0.00046 & 0.01005 \\ \hline  & \(2\times 2\) & 0.8075 & 0.94047 & 0.99576 & 0.98423 & 0.86893 \\  & \(0.00027\) & 0.00013 & 0.00001 & 0.00002 & 0.00021 \\  & \(3\times 2\) & 0.83549 & 0.91752 & 0.99377 & 0.986 & 0.87458 \\  & \(0.00108\) & 0.0031 & 0.00026 & 0.001 & 0.00116 \\ MITBIH & \(3\times 3\) & 0.84905 & 0.88435 & 0.99078 & 0.98753 & 0.86631 \\  & \(0.00207\) & 0.00994 & 0.00092 & 0.00016 & 0.00378 \\  & \(4\times 3\) & 0.8544 & 0.84955 & 0.98738 & 0.98792 & 0.85177 \\  & \(0.00229\) & 0.02786 & 0.00273 & 0.00018 & 0.01351 \\  & \(4\times 4\) & 0.86079 & 0.85686 & 0.98807 & 0.98845 & 0.85879 \\  & \(0.0023\) & 0.01002 & 0.001 & 0.00018 & 0.00436 \\ \hline  & \(2\times 2\) & 0.89461 & 0.94787 & 0.9936 & 0.9864 & 0.92047 \\  & \(0.00119\) & 0.0005 & 0.00006 & 0.00015 & 0.00071 \\  & \(3\times 2\) & 0.92128 & 0.91843 & 0.98936 & 0.98976 & 0.91985 \\  & \(0.00178\) & 0.00336 & 0.00048 & 0.00023 & 0.00188 \\ INCART & \(3\times 3\) & 0.92325 & 0.88574 & 0.98452 & 0.98997 & 0.9041 \\  & \(0.00231\) & 0.00296 & 0.00043 & 0.0003 & 0.00231 \\  & \(4\times 3\) & 0.92732 & 0.86486 & 0.98116 & 0.99046 & 0.89498 \\  & \(0.00226\) & 0.00752 & 0.00122 & 0.00029 & 0.00381 \\  & \(4\times 4\) & 0.92359 & 0.87453 & 0.98277 & 0.99 & 0.89839 \\  & \(0.00042\) & 0.00249 & 0.00039 & 0.00005 & 0.00129 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: SOM Reproducibility Experiments Results. results. The test values for each parameter are as follows: \(\
u=0.001\), 0.1, 0.5; \(\gamma=0.001\), 1.5, 3; \(d_{1}=0.4\), 0.5, 0.6; \(d_{2}=0.5\), 0.6, 0.7; \(d_{3}=0.2\), 0.3, 0.4. Each parameter has three different values, giving rise to 243 experiments for each set of features for each record in every database. In each experiment, the \(S\), \(P^{+}\), and \(F\) for each set of features (for each database) were computed, and only the highest performance in terms of \(F\) are shown in Table 5.  
Results with the highest values are in Table 5, and these are presented for each set of features. For example, parameters for feature set \(1=\
u=0.1\), \(\gamma=1.5\), \(d_{1}=0.4\), \(d_{2}=0.5\), \(d_{3}=0.3\). The \(Fg\) is computed from with each VBos \(F\) of every database for every set of features. The best three were set of features 1, 3, and 4. It is important to mention that these features involve only the QRS complex, which, in fact, is very accurate medically in distinguishing the heartbeat between SVBo and VBo. As the hyperparameters values for the three different sets of features were nearly the same, just varying \(d_{2}=0.6\) in feature set 4 and \(d_{2}=0.5\) in feature set 1 and 3, the final hyperparameter values to experiment with were as follows: \(\
u=0.05\), 0.1, 0.15, 0.25, 0.3; \(\gamma=1,1.25\), 1.5, 2.2; \(d_{1}=0.3\), 0.35, 0.4, 0.45, 0.5; \(d_{2}=0.55\), 0.575, 0.6, 0.625, 0.65; \(d_{3}=0.25\), 0.275, 0.3, 0.325, 0.35. In this case, 3125 experiments were performed for each set of features for each database. In order to select the best set of features with parameters, Table 6 presents the \(Fg\) values computed with the highest \(F\) for each database for each set of features.