The decision to use a traditional machine learning model vs. a deep learning model depends on factors such as the size and complexity of the dataset, the degree of nonlinearity in the data, and the availability of computational resources. Deep learning models are generally more suited for complex, high-dimensional datasets, while traditional machine learning models are better suited for smaller, more structured datasets.