As the title states, when I add another feature to the previous 200+ ones, the algorithm starts to train about 10 minutes, while earlier it trained only for a minute.Can anybody please explain me why this can happen?
Sklearn linear regression: adding new feature increases training time dramatically
scikit learn;linear regression