Types of Models

The types of models available are:

• Anomaly Detection Node: Builds Anomaly Detection models using a one-class Support Vector Machine (SVM).

• Association Node: Builds models for market basket analysis.

• Classification Node: Builds and tests classification models with the same target, case ID, cost, and split settings, where relevant. The models use the classification algorithms: Support Vector Machine (SVM), Naive Bayes (NB), Decision Tree (DT), and Generalized Linear Model (GLM).

• Clustering Node: Builds clustering models using the clustering algorithms: k-Means, O-Cluster, and Expectation Maximization (EM). EM requires Oracle Database 12c or later.

• Feature Extraction Node: Builds feature extraction models using the feature extraction algorithms: nonnegative matrix factorization, principal components analysis (PCA), and singular value decomposition (SVD). PCA and SVD require Oracle Database 12c or later.

• Model Node: Adds models to a workflow that were not built in the current workflow. This node has no input data.

• Model Details Node: Extracts model details from a model build node, a Model node, or any node that produces a model.

• Regression Node: Builds and tests a collection of Regression models with the same target, case ID, cost, and split settings, where relevant. The models use the regression algorithms: SVM and GLM.