Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Viewers a... > Association > AR Model Viewers and Algori... > Decision Tree > Expectation Maximization > EM Model Viewer and Algorit... > Generalized Linear Models > GLM Model Viewers and Algor... > k-Means > Naive Bayes > Non-Negative Matrix Factori... > Orthogonal Partitioning Clu... > Singular Value Decompositio... > Support Vector Machine > SVM Model Viewers and Algor... > Settings Information > General Settings
The Settings tab of a model viewer displays settings in two categories:
General Settings, described in this topic
Algorithms Settings that are specific to the selected algorithm
These General Settings are provided for all algorithms:
Type: The mining function for the model: anomaly detection, association rules. attribute importance, classification, clustering, feature extraction, or regression.
Owner: The data mining account (schema) used to build the model.
Model Name: The name of the model.
Target Attribute: The target attribute; only classification and regression models have targets.
Creation Date: The date when the model was created in the form MM/DD/YYYY
Duration: Time in minutes required to build model.
Size: The size of the model in megabytes.
Comment: For models not created using Data Miner, displays comments embedded in the models. To see comments for models built using Data Miner, go to Properties for the node where the model is built.
For models created using Data Miner, may contain BALANCED, NATURAL, CUSTOM, or TUNED. Data Miner inserts these values to indicate if the model has been tuned and in what way it was tuned.