Machine learning models for predicting good machine settings given bad machine settings
Can you explain the problem more precisely? What are inputs (besides control settings), is output same if the inputs are fixed? Are there any stochastic variables(external factors prone to probabilistic behaviour), what is the desired outcome?( Minimizing faulty outcome by choosing a setting or something similar)