Table 2.
The experimental results in terms of Root Mean Square Error (RMSE).
Test | SVM | RF | DT | MLP | CNN | LSTM | APNet |
---|---|---|---|---|---|---|---|
#1 | 56.55255 | 26.59535 | 36.90484 | 29.98992 | 26.36855 | 25.2699 | 23.83181 |
#2 | 47.07641 | 26.84212 | 38.17991 | 30.86026 | 25.24918 | 27.20435 | 25.95273 |
#3 | 55.9933 | 25.46634 | 29.14463 | 27.68189 | 24.43146 | 23.31643 | 22.56656 |
#4 | 66.58581 | 47.20812 | 58.96869 | 35.14076 | 31.38514 | 29.63356 | 31.08485 |
#5 | 50.32762 | 31.14631 | 55.65785 | 31.59871 | 26.4418 | 27.15832 | 26.77069 |
#6 | 47.23936 | 32.32307 | 43.69507 | 27.00565 | 23.87708 | 23.05538 | 24.81823 |
#7 | 48.11796 | 22.96514 | 33.33885 | 28.78185 | 24.29253 | 23.04227 | 20.83558 |
#8 | 27.70533 | 16.61144 | 19.44406 | 19.52802 | 16.63667 | 17.22178 | 16.44391 |
#9 | 57.49434 | 39.29988 | 44.9455 | 38.8347 | 31.03137 | 30.14096 | 35.23974 |
#10 | 43.12105 | 20.30241 | 34.27529 | 21.50208 | 16.24985 | 16.88207 | 14.7433 |
Average | 50.02137 | 28.87602 | 39.45547 | 29.09238 | 24.59636 | 24.2925 | 24.22874 |