Table 3.
NC | TLF | TR | SE | Average | ||
---|---|---|---|---|---|---|
k-NN | Precision | 0.986 | 0.987 | 0.979 | 0.979 | 0.983 |
Recall | 0.993 | 0.954 | 0.988 | 0.983 | 0.980 | |
F1-score | 0.989 | 0.970 | 0.983 | 0.981 | 0.981 | |
SVM | Precision | 0.989 | 0.996 | 0.975 | 0.967 | 0.982 |
Recall | 0.992 | 0.954 | 0.992 | 0.983 | 0.980 | |
F1-score | 0.990 | 0.975 | 0.983 | 0.975 | 0.981 |
NC = Noncompensation, TLF = Trunk lean-forward, TR = Trunk rotation, SE = Shoulder elevation, k-NN = k-nearest neighbor, SVM = support vector machine