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.
- alias
- subtype
- has functional building block
- FBB_Classification FBB_Value prediction
- has learning style
- LST_Supervised
- has relevance
- REL_Relevant
- mathematically similar to
- ALG_Support vector machine
- typically supports
- ALG_Least Squares Regression ALG_Logistic regression