Glossary#

ARDR#

Automatic relevance determination regression (ARDR) is an optimization algorithm provided by scikit-learn [PedVarGra11]

compressive sensing#

Compressive sensing (CS), also known as compressive sampling, is an efficient method for constructing sparse solutions for linear systems.

CV#
cross validation#

Cross validation (CV) is commonly employed to evaluated the transferability and accuracy of linear problems.

LASSO#

The least absolute shrinkage and selection operator (LASSO) is a method for performing variable selection and regularization in problems in statistics and machine learning.

regularization#

Regularization, is commonly used in machine learning to combat overfitting and for solving underdetermined systems.

OLS#

Ordinary least-squares.

RFE#

In machine learning recursive feature elimination (RFE) is a popular feature selection process in model construction.

RMSE#

Root mean square error, is a frequently measure for the deviation between a reference data set and a predicted data set.