Lasso+L0 performed on a tailor made feature space was introduced in Phys. Rev. Lett. 114, 105503 (2015).

The application of the method goes through these step:

- The
*feature space*is generated by creating a list of analytical expressions (the*derived features*), obtained by combining the selected*primary features*and operations. - The Least Absolute Shrinkage and Selection Operator (LASSO) is applied. In practice the following minimization is performed:
LASSOformula
where
**P**is a vector listing the property of interest (here, the RS - ZB difference in energy) for all data points (here, binary materials),**D**is a matrix whose columns are the*derived features*listed for each material,**c**is the (sparse) vector of coefficients that is found upon minimization.

A short summary of the method will appear below soon.