Table 8 Rank of ML Models based on Prediction Error Assessment Using Datasets Obtained on 16 and 17 June 2022.
Model | MAE | Rank | MSE | Rank | RMSE | Rank | SAE | Rank | Average of Rank | Rank_Prediction Errors |
|---|---|---|---|---|---|---|---|---|---|---|
ARIMA | 0.002191 | 1 | 0.000024 | 1 | 0.004858 | 1 | 10.08 | 1 | 1 | 1 |
LR | 0.002191 | 1 | 0.000024 | 1 | 0.004858 | 1 | 10.08 | 1 | 1 | 1 |
RF | 0.002669 | 3 | 0.000025 | 3 | 0.005012 | 3 | 12.28 | 3 | 3 | 3 |
SVM | 0.004554 | 4 | 0.000034 | 4 | 0.005794 | 4 | 20.954 | 4 | 4 | 4 |
KNN | 0.007748 | 5 | 0.000104 | 5 | 0.010219 | 5 | 35.65 | 5 | 5 | 5 |
RNN | 0.047337 | 7 | 0.003429 | 6 | 0.058554 | 6 | 784.09 | 6 | 6.25 | 6 |
BP_SOG | 0.047507 | 8 | 0.003444 | 7 | 0.058682 | 7 | 1,005,700 | 9 | 7.75 | 7 |
LSTM | 0.045438 | 6 | 0.031038 | 9 | 0.176180 | 9 | 791.71 | 7 | 7.75 | 7 |
BP_Resilient | 0.048282 | 9 | 0.003549 | 8 | 0.059571 | 8 | 1,022,100 | 10 | 8.75 | 9 |
Perceptron | 0.829480 | 10 | 0.689740 | 10 | 0.830510 | 10 | 4601 | 8 | 9.5 | 10 |
