[pplonski86]

But still, NN has much more hyperparameters than RF and training good NN model requires far more experience.

[ScoutOrgo]

fast.ai has some pretty good defaults. The main HP to choose in their tabular learner are the neurons in the linear layers and the number of embeddings for each category.