𝑦 ̂= 𝑎𝑟𝑔min NO combines the strengths of both FO and MO to achieve superior performance. By integrating the key benefits of each, the network can be optimized more effectively than through independent feature or hyperparameter optimization alone. FO ensures that the most relevant features are selected, while MO fine-tunes the hyperparameters to maximize performance.