Machine Learning Theory 1
Vapnik–Chervonenkis (VC) Dimension
Vapnik–Chervonenkis (VC) dimension - the size (capacity, complexity, expressive power, richness, or flexibility) of machine learning model.
Vapnik–Chervonenkis (VC) dimension - the size (capacity, complexity, expressive power, richness, or flexibility) of machine learning model.