In the decision tree click-through prediction project, can you also tweak other hyperparameters, such as min_samples_split and class_weight? What is the highest AUC you are able to achieve?
In the random forest-based click-through prediction project, can you also tweak other hyperparameters, such as min_samples_split, max_features, and n_estimators, in scikit-learn? What is the highest AUC you are able to achieve?