There are various algorithms used in predictive modelling, including Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM), Gradient Boosting, Neural Networks, and more. The choice of algorithm depends on factors such as the type of problem, the data characteristics, and the desired interpretability or accuracy. Model.ai uses XGBoost, Random Forest and Logistic Regression algorithm to build predictive models for its users.