Grid Search Best Estimator

In both the book and the example on github, when using the grid search to find the best estimator, gridsearch.best_estimator returns something that looks like the following:


However, when I run the same thing on my local machine, all I get is this:

So two questions. The first is why am I getting slightly different hyperparameters (I've seen it flip-flop between 6 and 8 for max_features). Is it because the folds are randomized, so the models that are trained are slightly different? And the second question is why in the output it only gives me the two hyperparameters I asked it search over, but not the rest. Is there some setting I'm missing?