Elastic net

Supporting technique

Elastic net is a regularization technique that combines LASSO (linear or “L1 penalty”) and ridge regression (quadratic or “L2 penalty”) and thereby represents a compromise between the advantages and disadvantages of the two algorithms. In 2014, it was unexpectedly shown to be mathematically isomorphic to support vector machines, which makes implementing it considerably easier and more efficient.

has functional building block
FBB_Classification FBB_Value prediction
has learning style
has relevance
mathematically similar to
ALG_Support vector machine
typically supports
ALG_Least Squares Regression ALG_Logistic regression