Table 16 Comparison of proposed model with similar studies.
Model | Accuracy (%) |
|---|---|
Recurrent Neural Networks (RNN)22 | 81 |
Linear Regression (LR)30 | 68 |
Stochastic Gradient Descent (SGD)30 | 66 |
Random Forest Regression (RFR)30 | 72 |
Decision Tree Regression (DTR)30 | 71 |
Support Vector Regression (SVR)30 | 70 |
Seasonal Autoregressive Integrated Moving Average (SARIMA)25 | 43 |
Hybrid Artificial Neural Network (Hybrid ANN)31 | 70–83 |
XGBoost32 | 83 |
Proposed work | 86 |
