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.