What are the advantages of logistic regression over decision trees ... if the AUC of the best model is below 0.8, logistic very clearly outperformed tree induction. You have have low signal ...

decision tree regression and neural network regression. This article explains how to create and use kernel ridge regression (KRR) models. Compared to other regression techniques, KRR is especially ...

Random forest regression is an integrated learning method that combines multiple decision tree models into a more powerful model that can effectively avoid overfitting problems and can handle ...