Table 5.
Comparison of machine learning algorithms.
Model | Data Source | |||||
---|---|---|---|---|---|---|
S1 | S2 | S3 | S4 | S5 | S3–S5 Systems | |
DT | 58.97 | 50.82 | 84.55 | 88.89 | 100.0 | 81.29 |
KNN | 69.23 | 63.93 | 92.73 | 94.44 | 100.0 | 92.52 |
RF | 61.54 | 70.49 | 94.09 | 92.59 | 100.0 | 91.84 |
NN | 76.92 | 59.02 | 94.09 | 94.44 | 95.24 | 96.26 |
LSTM | 64.1 | 52.46 | 81.82 | 66.67 | 100.0 | 86.73 |
CNN | 43.59 | 47.54 | 71.82 | 85.19 | 66.67 | 65.99 |
Transformer | 46.15 | 29.51 | 92.27 | 90.74 | 100.0 | 92.18 |