Home > Workflows > Workflow Nodes > Types of Nodes > Model Nodes
The Models section of the Components window specifies either models to build or models to add to the workflow. The Models nodes are as follows:
Anomaly Detection node: Builds Anomaly detection models using one-class SVM.
Association node: Build 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 (SVM, NB, DT, and GLM).
Clustering node: Builds 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 non-negative 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. The models can be built in a different workflow or built using the Oracle Data Mining API.
Model Details node: Extract model details from a model build node, a model node, or any node that outputs 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.
For information about the model nodes, see Model Nodes