Table 6. Classification performance for the second level with the TestSet dataset.
Confusion Matrix | Accuracy (%) | |||||
---|---|---|---|---|---|---|
K3b | Left-estimated | Right-estimated | Tongue-estimated | Foot-estimated | 89.2±2.0 | |
Left-real | 11 | 3 | 0 | 0 | ||
Right-real | 2 | 21 | 0 | 0 | ||
Tongue-real | 0 | 0 | 12 | 1 | ||
Foot-real | 0 | 0 | 1 | 14 | ||
L1b | Left-estimated | Right-estimated | Tongue-estimated | Foot-estimated | 78.3±1.4 | |
Left-real | 9 | 1 | 0 | 0 | ||
Right-real | 2 | 12 | 0 | 0 | ||
Tongue-real | 1 | 1 | 5 | 3 | ||
Foot-real | 0 | 0 | 2 | 10 | ||
K6b | Left-estimated | Right-estimated | Tongue-estimated | Foot-estimated | 57.5±8.5 | |
Left-real | 6 | 5 | 0 | 0 | ||
Right-real | 4 | 7 | 0 | 0 | ||
Tongue-real | 2 | 3 | 2 | 0 | ||
Foot-real | 1 | 1 | 1 | 8 |
The values are the average results for the test over 5-runs. The standard deviation of the accuracy is also given.