Machine Learning, Data Science.
for convergence, gblinear approximates a Lasso regularization (more specifically Elastic Net if L1+L2). Therefore, it will be much more efficient, even if the sum of effects of features is not supposedly linear. However, here we are using one-hot encoding (distinct 0/1 values) + gblinear, thus we