what is the sparse matrix in a cross validated equation? what is the sparseness of the matrix? why does a less sparse matrix give less accurate estimation using cross validation? why, after cross validation, beta2 becomes more sparse(less nonzero)? what is the sparse data matrix used by cross validation what is the difference between beta1 why does a less sparse matrix give less accurate estimation using cross validation? which element in beta1 becomes more sparse why the beta2 becomes more sparse when cross validated what is more sparse beta what is the sparse matrix used for in a data matrix does a less sparse matrix give less accurate estimation using cross-validation? why does a more sparse matrix give less accurate estimation using cross-validation? what is the sparse matrix for regression what is the sparseness of a data matrix in a test why, after cross validation, beta2 becomes more sparse(less non zero)? which data is less sparse why does a less sparse matrix give less accurate estimation using cross validation why it becomes less sparse after cross validation? why the beta2 becomes more sparse after cross validation?