The comparison of sensitivity and specificity of machine-learning algorithms. The analyzed movies were recored at indicated pixel resolution![]()
| Pixel resolutions | Sensitivity (%) |
|---|
| 2DT | SVM | kNN | CNN | RNN | LSTM |
|---|
| 320×240 | 94.8 | 68.0 | 91.0 | 92.4 | 84.8 | 90.7 |
| 800×600 | 99.1 | 63.3 | 93.5 | 97.4 | 96.5 | 96.5 |
| 1260×960 | 98.2 | 43.1 | 94.6 | 92.6 | 76.2 | 95.9 |
| Average | 97.3 | 58.1 | 93.0 | 94.1 | 85.8 | 94.3 |
| Recording No. | Sensitivity (%) |
|---|
| 2DT | SVM | kNN | CNN | RNN | LSTM |
|---|
| 320×240 | 85.1 | 94.4 | 72.2 | 90.0 | 92.7 | 84.2 |
| 800×600 | 84.4 | 96.4 | 76.5 | 81.5 | 90.0 | 85.4 |
| 1260×960 | 68.6 | 97.5 | 50.9 | 66.4 | 90.6 | 59.1 |
| Average | 79.3 | 96.1 | 66.5 | 79.3 | 91.1 | 76.2 |
| Sensitivity×Specificity (%) | 77.15 | 55.83 | 61.84 | 74.62 | 78.16 | 71.85 |
© Exp Neurobiol
