Several algorithms are commonly employed for supervised learning in catalysis. These include: - [Linear regression]() - [Decision trees]() - [Random forests]() - [Support vector machines (SVM)]() - [Neural networks]()
Each of these algorithms has its strengths and weaknesses, and the choice of algorithm often depends on the specific nature of the data and the problem being addressed.
