# A Study on the Essential and Parkinson's Arm Tremor Classification +
## 5 Results
### Results
\begin{table}
\begin{tabular}{l l l l l l l l} \hline \hline \multirow{2}{*}{**Measurement**} & **ET (\%)** & **PT (\%)** & **NT (\%) (\%) (\% = 3)** & **Total (\%)** & **Algorithm** & **Training Time** & **Prediction** \\  & **(\(k=1\))** & **(\(k=2\))** & **NT (\%) (\%) (\% = 3)** & **Total (\%)** & **Algorithm** & **(sec)** & **Speed (obj/sec)** \\ \hline \multirow{2}{*}{\(l_{4}\)} & 100.0 & 6.2 & 92.3 & 70.7 & Bagged trees & 2.18 & 1300 \\  & 93.7 & 6.25 & 91.7 & 67.8 & Linear SVM & 1.66 & 1900 \\  & 100.0 & 0 & 91.7 & 67.8 & Quadratic SVM & 1.58 & 3800 \\ \hline \multirow{2}{*}{\(T_{1}\)} & 100.0 & 50.0 & 96.1 & 84.5 & Fine Gaussian SVM & 1.72 & 2700 \\  & 100.0 & 50.0 & 100.0 & 85.7 & Weighted KNN & 1.67 & 6300 \\  & 93.7 & 36.4 & 95.8 & 78.8 & Quadratic SVM & 1.86 & 2700 \\ \hline \multirow{2}{*}{\(T_{2}\)} & 100.0 & 87.5 & 88.4 & 91.4 & Quadratic SVM & 1.88 & 4100 \\  & 100.0 & 100.0 & 61.5 & 78.3 & Fine Gaussian SVM & 1.74 & 3500 \\  & 100.0 & 100.0 & 30.78 & 68.9 & Linear SVM & 1.95 & 4300 \\ \hline \multirow{2}{*}{\(T_{3}\)} & 100.0 & 18.7 & 84.6 & 70.7 & Bagged trees & 2.28 & 1200 \\  & 100.0 & 0 & 100.0 & 71.9 & Fine Gaussian SVM & 1.68 & 3500 \\  & 100.0 & 0 & 28 & 40.3 & Linear SVM & 1.96 & 3500 \\ \hline \multirow{2}{*}{\(T_{4}\)} & 100.0 & 75.0 & 92.3 & 89.6 & Bagged trees & 2.83 & 950 \\  & 100.0 & 0 & 100.0 & 73.9 & Quadratic SVM & 1.73 & 3300 \\  & 100.0 & 0 & 100.0 & 73.9 & Linear SVM & 1.80 & 3600 \\ \hline \multirow{2}{*}{\(M_{1}\)} & 93.7 & 87.5 & 38.4 & 67.2 & Bagged trees & 2.26 & 1000 \\  & 93.7 & 50 & 50 & 62.1 & Weighted KNN & 0.55 & 5700 \\  & 93.7 & 56.25 & 50 & 63.2 & Quadratic SVM & 1.75 & 3000 \\ \hline \multirow{2}{*}{\(M_{2}\)} & 100.0 & 100.0 & 92.3 & 96.5 & Linear SVM & 1.86 & 3600 \\  & 100.0 & 100.0 & 100.0 & 100.0 & Quadratic SVM & 1.78 & 3500 \\  & 100.0 & 100.0 & 100.0 & 100.0 & Cubic SVM & 1.69 & 3600 \\ \hline \multirow{2}{*}{\(M_{3}\)} & 100.0 & 50.0 & 100.0 & 86.2 & Cubic SVM & 1.20 & 2900 \\  & 0 & 75.0 & 100.0 & 62.5 & Quadratic SVM & 1.28 & 2900 \\  & 0 & 75.0 & 100.0 & 62.5 & Linear SVM & 1.36 & 3700 \\ \hline \multirow{2}{*}{\(M_{4}\)} & 100.0 & 68.7 & 100.0 & 91.4 & Cubic SVM & 2.20 & 4700 \\  & 100.0 & 68.7 & 100.0 & 91.4 & Quadratic SVM & 2.53 & 4300 \\  & 100.0 & 62.5 & 92.3 & 86.2 & Fine KNN & 1.41 & 3800 \\ \hline \multirow{2}{*}{\(F_{1}\)} & 93.7 & 43.7 & 50.0 & 60.3 & Linear SVM & 1.89 & 4200 \\  & 100.0 & 31.2 & 52.4 & 60.2 & Quadratic SVM & 1.81 & 3500 \\  & 100.0 & 50.0 & 57.1 & 67.9 & Bagged trees & 2.46 & 890 \\ \hline \multirow{2}{*}{\(F_{2}\)} & 100.0 & 93.7 & 34.6 & 68.9 & Bagged trees & 2.69 & 1100 \\  & 100.0 & 68.7 & 23.1 & 56.9 & Quadratic SVM & 2.45 & 4500 \\  & 100.0 & 68.7 & 23.1 & 56.9 & Fine KNN & 1.98 & 5300 \\ \hline \multirow{2}{*}{\(F_{3}\)} & 100.0 & 75.0 & 76.9 & 82.8 & Quadratic discriminant & 1.65 & 6100 \\  & 100.0 & 75.0 & 95.2 & 90.6 & Linear discriminant & 1.78 & 8600 \\  & 100.0 & 50.0 & 100.0 & 84.9 & Linear SVM & 2.28 & 4100 \\ \hline \multirow{2}{*}{\(F_{4}\)} & 100.0 & 100.0 & 92.3 & 96.5 & Cubic SVM & 1.38 & 2200 \\  & 100.0 & 100.0 & 86.9 & 92.0 & Linear SVM & 1.17 & 4200 \\  & 100.0 & 75.0 & 93.3 & 90 & Bagged trees & 2.82 & 860 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: \(Cont.\)From the algorithms with the highest success rate, the lowest achieved rate was 40.3% for the Linear SVM classifier. This percentage belonged to the thumb measurement in free motion, while also relatively low percentages were observed in measurements at resting positions of the index (\(I_{1}\)--Bagged Trees), metacarpal (\(M_{1}\)) and lower forearm (\(F_{1}\)--Weighted KNN) and at free motion measurements of the index (\(I_{3}\)--Bagged Trees) and thumb (\(T_{3}\)--Linear SVM). The highest success rates measured up to 100.0% for the Cubic and Quadratic SVM algorithms in extended arm position measurement of the metacarpal area (\(M_{2}\)).