Supervised learning is a type of machine learning where an algorithm is trained on a labeled dataset. This dataset contains input-output pairs, where the input is the data that the model will learn from, and the output is the target that the model aims to predict. In the context of Bioanalytical Sciences, supervised learning can be used to predict various biological and chemical properties from experimental data.
