Table 1 Benefits of the ANN, AdaBoost and SVM over conventional methods31,27,33.
Features | Adopted methods | Conventional methods |
|---|---|---|
Handling Complexity | Effectively manages high-dimensional spaces and complex data | May struggle with high-dimensional data and complex relationships |
Adaptability | Highly adaptable; can model complex, nonlinear relationships without predefined assumptions | Limited adaptability; often based on fixed assumptions and empirical formulas |
Model Transparency | Enhanced transparency with techniques like SHAP for interpreting model predictions | Often lacks transparency; models are not always explainable |
Accuracy | Often achieves higher accuracy due to advanced algorithms that capture intricate patterns and interactions | Accuracy depends on the quality and quantity of data; may require extensive empirical adjustments |
