Machine Learning, Artificial Intelligence, Model Selection, Onepagecode, Scikit Learn.
their own parameters. PCA, for example, is used to reduce dimensionality by defining the number of principal components to be used. In ideal circumstances, we would select the number of components that produce the highest performance for some evaluation test metric. This is made easy by