Table 2 Comparative study of prediction models for acute diarrhoeal disease and dengue.
Prediction models | RMSE (Acute Diarrhoeal Disease) | MAPE (Acute Diarrhoeal Disease) | MAE (Acute Diarrhoeal Disease) | R2 (Acute Diarrhoeal Disease) | RMSE (Dengue) | MAPE (Dengue) | MAE (Dengue) | R2 (Dengue) |
|---|---|---|---|---|---|---|---|---|
Regression | 20,366.63 | 157.032 | 17,890 | 0.45 | 27,087.61 | 488.065 | 24,090 | 0.4 |
Bayesian Linear Regression | 9310.285 | 71.785 | 8120 | 0.72 | 12,382.68 | 223.111 | 10,710 | 0.68 |
Multi Output Regressor + XGBoost | 9775.794 | 75.374 | 8620 | 0.7 | 13,001.81 | 234.267 | 11,450 | 0.65 |
SIR | 17,727.03 | 136.68 | 15,790 | 0.5 | 23,576.94 | 424.81 | 21,200 | 0.45 |
ARIMA (1,1,1) | 317.707 | 2.45 | 260 | 0.95 | 422.551 | 7.614 | 350 | 0.94 |
Prophet | 698.22 | 5.383 | 520 | 0.9 | 928.633 | 16.732 | 720 | 0.88 |
NBEATS | 438.316 | 3.38 | 340 | 0.93 | 582.961 | 10.504 | 440 | 0.91 |
Gluonts | 1163.37 | 8.97 | 990 | 0.85 | 1547.282 | 27.879 | 1250 | 0.8 |
LSTM | 431.316 | 3.326 | 330 | 0.94 | 573.651 | 10.336 | 410 | 0.92 |
Proposed Model (Seq2Seq) | 385.515 | 2.789 | 320 | 0.96 | 399.134 | 6.354 | 340 | 0.95 |
