- Linear Models
- Linear and Quadratic Discriminant Analysis
- Support Vector Machines
- Support Vector Machines
- Nearest Neighbors
- Gaussian Processes
- Cross decomposition
- Naive Bayes
- Decision Trees
- Ensembles: Gradient boosting, random forests, bagging, voting, stacking
- Multiclass and multioutput algorithms
- Feature selection
- Neural network models (supervised)