I'm sorry, I don't have information on the specific algorithms Kraken uses to train models.

By default, Kraken runs several different algorithms based on the Metric selected for predictions. We use algorithms contained in the open-source Python library, scikit-learn. The parameters that are used are scikit-learn's default values for each algorithm. Binary Classification Models: - Random Forest - Logistic Regression - XGBoost - Nearest Neighbors Classification - Support Vector Classification - Gausian Naive Bayes Regression Models: - Linear Regression - Random Forest Regression - XGB Regressor - Nearest Neighbors Regressor - Support Vector Regression - Stochastic Gradient Descent Regression Multi-Class Classification Models: - Random Forest - Multinomial Logistic Regression - Nearest Neighbors Classification - Support Vector Classification - Gausian Naive Bayes