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. 2019 Jun 18;14(6):e0218181. doi: 10.1371/journal.pone.0218181

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.