| Class | Definition |
| DecisionTreeClassifier | Single Decision Tree Classifier. |
| DummyTreeClassifier | Creates and makes predictions using a tree with a maximum depth of 100 with one element per leaf. |
| KNeighborsClassifier | Creates a KNeighborsClassifier object by using the k-nearest neighbors algorithm. |
| NaiveBayes | Creates a NaiveBayes object by using the Vertica Naive Bayes algorithm on the data. |
| NearestCentroid | Creates a NearestCentroid object using the k-nearest centroid algorithm. |
| RandomForestClassifier | Creates a RandomForestClassifier object using the Vertica Random Forest algorithm. |
| XGBoostClassifier | Creates a XGBoostClassifier object using the XGBOOST algorithm. |