Home > Workflows > Workflow Nodes > Types of Nodes > Model Nodes
The Models section of the component palette 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 clustering models using either or both of the clustering algorithms (k-Means and O-Cluster).
Feature Extraction node: Builds feature extraction models using non-negative matrix factorization.
Model node: Adds models to a workflow that were not built using Oracle Data Miner.
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 one of the regression algorithms (SVM and GLM).
For information about the model nodes, see Model Nodes