[D] Does there exist a way to predict the accuracy of a NN? (or any other metric such as recall or precision)

Hello,

I was wondering if there had been research about predicting or generating lower bounds and upper bounds for the accuracy (or recall, precision, ...) of a NN architecture (be it a "vanilla" NN or some more involved architectures such as conv nets, recurrent NN, transformers) solely based on:

\- The input (that is the dataset)

\- The embedding (or how the data is represented)

\- The architecture

I couldn't find anything encompassing all the aforementioned.

Although, I found some …

accuracy machinelearning precision recall