## 3 Results
In general, the proposed CNN model is tested using test data with several test values such as accuracy, sensitivity, specificity, precision, and F1-score. The performance results obtained were above 99.9% for accuracy and specificity and ranged from 99.5% to above 99.9% for sensitivity, precision, and F1 score (Figure 7). The model with the highest accuracy was chosen as the best model for this study from all the models analyzed. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Lead** & **Training Accuracy** & **Validation Accuracy** & **Testing Accuracy** \\ \hline i & 99.35\% & 99.66\% & 99.76\% \\ Ii & 98.11\% & 99.79\% & 99.61\% \\ iii & 99.80\% & 99.77\% & 99.83\% \\ avr & 99.49\% & 99.72  
Figure 6: Confusion Matrix 10 class MI and Normal in lead v2. Figure 7: Boxplot Performance Result (%) in 15 ECG leads for 10 classes MI and normal. The performance results (%) for each of the 15 ECG leads are presented in Table 4. The best average accuracy value for all MI and Normal classes is in lead v2 with a value of 99.98%. Likewise, the best values for sensitivity, specificity, precision, and F1-score are in lead v2 with values of 99.91%, 99.99%, 99.91% and 99.91%. More details on the values of accuracy, sensitivity, specificity, precision, and F1-score for each MI class and normal in each lead. In Table 5, the MI class accuracy value which has the lowest value is AS class (99.80%) and the best MI class accuracy value that reaches 100% is A, H, IP, IPL, L, P, and PL classes. Similarly, the sensitivity value was obtained from the test data for all MI and normal classes. The lowest sensitivity value is PL class (98.28%) and the highest sensitivity value is in almost all MI classes (100%) except AL (99.80%) and IL (99.85%) on all ECG signals in all leads. The CNN model can recognize MI class with a high sensitivity value of 99.80% for all leads. In other words, the proposed model is good for heterogeneity in all ECG segments. For the specificity value, the lowest value is below 99.85% in the PL class (98.92%), while the highest value of 100% specificity is in almost all MI classes and normal except for class I (99.99%). For precision, the highest value is in almost all MI and normal classes, while the lowest precision value is in the PL class (99.15%). For F1-Score, the highest score of 100% is in class A, H, IP, IPL, L, P, and PL, while the lowest score is in class AL (98.97%). Based on the accuracy, sensitivity, specificity, precision, and F1-score, the diagnostic test is found to be able to identify patients with MI disease with great relevance. The highest values of accuracy, sensitivity, specificity, precision, and F1-score for 10 MI classes and normal in 15 leads are at the maximum values of 99.98%, 99.91%, 99.99%, 99.91, and 99.91%. Meanwhile, the lowest values of accuracy, sensitivity, specificity, precision, and F1-score are 99.92%, 99.52%, 99.88%, 99.45%, and 99.64%. The evaluation results above \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Lead** & **ACC (\%)** & **SEN (\%)** & **SPE (\%)** & **PRE (\%)** & **F1-Score (\%)** \\ \hline
**i** & 99.96 & 99.82 & 99.98 & 99.82 & 99.98 \\
**ii** & 99.94 & 99.62 & 99.96 & 99.62 & 99.96 \\
**iii** & 99.97 & 99.89 & 99.98 & 99.89 & 99.98 \\
**avr** & 99.92 & 99.67 & 99.95 & 99.67 & 99.95 \\
**avl** & 99.96 & 99.69 & 99.98 & 99.69 & 99.98 \\
**avf** & 99.94 & 99.75 & 99.96 & 99.75 & 99.96 \\
**v1** & 99.95 & 99.60 & 99.97 & 99.60 & 99.97 \\
**v2** & 99.98 & 99.91 & 99.99 & 99.91 & 99.99 \\
**v3** & 99.97 & 99.88 & 99.98 & 99.88 & 99.98 \\
**v4** & 99.97 & 99.86 & 99.98 & 99.86 & 99.98 \\
**v5** & 99.95 & 99.82 & 99.97 & 99.82 & 99.97 \\
**v6** & 99.95 & 99.82 & 99.97 & 99.82 & 99.97 \\
**vx** & 99.97 & 99.76 & 99.88 & 99.76 & 99.88 \\
**vy** & 99.96 & 99.80 & 99.98 & 99.80 & 99.98 \\
**vz** & 99.93 & 99.52 & 99.96 & 99.52 & 99.96 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Performance result (%) 15 lead ECG.