![]() ![]() Split your training data for both models. By putting the dlls in the pylink folder on windows: - User does not need to remember to install eyelink dev kit - pylink will work with python 3.8/3.By putting the dlls in the pylink folder on windows: - User does not need to remember to install eyelink dev kit - pylink will work with python 3.8/3.9 without dll path modification (according to a SRR developer) - We also know the user has the right version of. So how should one go about conducting a fair comparison? If the dll's are not in the pylink folder the user needs to install the eyelink developers kit for windows or pylink will not work. ![]() Now you might ask, "so what's the point of best_model.best_score_? Well, that score is used to compare all the models used when searching for the optimal hyperparameters in your search space, but in no way should be used to compare against a model that was trained outside of the grid search context. So your score for the grid search is going to be worse than your baseline. ![]()
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