linear ridge regression, k-nearest neighbors regression, kernel ridge regression, Gaussian process regression, decision tree regression and neural network regression. Each technique has pros and cons.

linear ridge regression, k-nearest neighbors regression, kernel ridge regression, Gaussian process regression, decision tree regression, and neural network regression. Each technique has pros and cons ...

An important related, almost identical, concept involves the advantages of linear regression, which is the a procedure for modeling the value of one variable on the value(s) of one or more other ...