The correct answer is False.
A model-based approach is a method of solving a problem by constructing a model of the system and then using that model to simulate the system’s behavior. The advantage of using a model-based approach is that it can be used to solve problems that are difficult or impossible to solve using other methods. However, the disadvantage of using a model-based approach is that it can be computationally expensive.
The model performance is the accuracy of the model in predicting the system’s behavior. The model performance is not directly tied to the advantage of using a model-based approach. In fact, the model performance can be poor even if the model-based approach is used correctly.
For example, consider the problem of predicting the weather. A model-based approach can be used to predict the weather by constructing a model of the atmosphere. However, the model performance of this approach is often poor. This is because the atmosphere is a complex system and it is difficult to construct a model that accurately captures all of the factors that affect the weather.
In conclusion, the advantage of using a model-based approach is that it can be used to solve problems that are difficult or impossible to solve using other methods. However, the disadvantage of using a model-based approach is that it can be computationally expensive. The model performance is not directly tied to the advantage of using a model-based approach.