I'm using support vector machines to classify some data. I've split my data into a training set and a validation set, and I've used GridSearchCV to train with different hyperparameters and find the best. Now, I would like to print the result for all those, both on the training set and the validation set. The training set is easy enough, given that GridSearchCV has an attribute called grid_scores_(I'm using scikit-learn version 1.17.1), which I can print to get all the results on my training set. However, I would like to be able to print the same thing, but for my validation set. I can get the result for the best one by writing
Yes you can. There is a parameter called
verbose that you can set in your
GridSearchCV. It controls the verbosity of the messages shown in the console.
verbose is an integer : the higher, the more messages. For exemple if you set
verbose = 3 you will get the parameters of your cross validation and the score for each combination.
You can try different values for this parameter.
Hope this helped !