Preventing overfitting in GP with canary functions

  title={Preventing overfitting in GP with canary functions},
  author={Nate Foreman and Matthew P. Evett},
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept for preventing overfitting by automatically recognizing when it starts to occur. This paper presents a simple scheme for implementing canary functions using cross-validation. The… CONTINUE READING