Find error rate of a classifier without having y_test
unsupervised techniques can work better in this case,and no there is no way to evaluate your algorithm performance unless you cut a part of you training data if it's big enough
I used a random forest classifier and now I want to see how good my classification was. Maybe even perform a grid search. My test data has no labels, meaning I only have x_train, y_train and x_test. Is there a way to calculate the error rate without having the accuracy?
Thank you in advance!