Classification algorithm | Precision | Recall | F1-score | Accuracy (%) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | C | M | U | A | C | M | U | A | C | M | U | ||
Gaussian NB | 0.23 | 0.53 | 0.84 | 0.20 | 0.75 | 0.43 | 0.23 | 0.71 | 0.36 | 0.48 | 0.36 | 0.32 | 38.6 |
SVM (Setting 1) | 0.60 | 0.70 | 0.74 | 0.80 | 0.31 | 0.62 | 0.89 | 0.74 | 0.41 | 0.66 | 0.81 | 0.77 | 72.3 |
SVM (Setting 2) | 0.49 | 0.65 | 0.78 | 0.84 | 0.36 | 0.70 | 0.82 | 0.71 | 0.41 | 0.68 | 0.80 | 0.77 | 71.0 |
RF (n = 100) | 0.60 | 0.65 | 0.75 | 0.84 | 0.20 | 0.67 | 0.89 | 0.72 | 0.30 | 0.66 | 0.81 | 0.78 | 71.4 |
Shallow NN [[32, 16, 8]] | 0.43 | 0.67 | 0.77 | 0.72 | 0.46 | 0.62 | 0.78 | 0.72 | 0.44 | 0.64 | 0.77 | 0.72 | 68.4 |
KNN (3) | 0.31 | 0.57 | 0.66 | 0.76 | 0.34 | 0.35 | 0.79 | 0.57 | 0.32 | 0.43 | 0.72 | 0.65 | 58.8 |