Table 9 Performance of the GRU-based classifier in signer-independent mode when trained with data from 4 signers and tested with data from 1 signer.
Label | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
ሀዘን | 0.80 | 1.00 | 0.89 | 35 |
ህመም | 0.17 | 0.25 | 0.20 | 40 |
ለምን? | 0.30 | 0.94 | 0.45 | 36 |
ልምምድ | 0.42 | 0.35 | 0.38 | 37 |
መራራ | 0.79 | 1.00 | 0.89 | 31 |
መናደድ | 0.14 | 0.03 | 0.05 | 35 |
መጀመር | 1.00 | 0.09 | 0.17 | 33 |
መገረም | 0.73 | 1.00 | 0.84 | 38 |
መጥፎ | 0.48 | 0.30 | 0.37 | 37 |
መጨረስ | 0.71 | 0.65 | 0.68 | 37 |
መጨነቅ | 0.36 | 0.14 | 0.20 | 35 |
ማሸነፍ | 0.30 | 0.38 | 0.34 | 37 |
ምስጋና | 0.00 | 0.00 | 0.00 | 38 |
ቀላል | 0.38 | 1.00 | 0.55 | 37 |
ተነስ! | 0.48 | 0.30 | 0.37 | 37 |
አስቸጋሪ | 0.84 | 0.73 | 0.78 | 37 |
እህት | 0.50 | 0.12 | 0.20 | 32 |
ወንድም | 0.38 | 0.17 | 0.23 | 36 |
ይቅርታ | 0.66 | 1.00 | 0.80 | 37 |
ጎበዝ | 0.17 | 0.06 | 0.09 | 35 |
Accuracy | 0.48 | 720 | ||
Macro Avg | 0.48 | 0.48 | 0.42 | 720 |
Weighted Avg | 0.47 | 0.48 | 0.42 | 720 |