Which model is best?

Hi there, first of all, thank you for this amazing platform and for all the topics discussed, this is very helpful.
If I may ask, I’m currently working on a project where I’m trying to control the quality of a product by predicting the best parameters to work with ( such as temperature, pressure, and density…). I have 3 data sets, the first one contains the characteristics of the raw material which is the input of my process. The second contains the setting values of each parameter, which results in values in the 3rd Dataset of the characteristics of my final product.
What is the best way to predict the settings needed, so that giving the data in input, these settings (temp, density…) let us find the desired output!
(all my data is numerical, and I’ll have a multi-output model)
Thank you.