NAME 
VARCHAR2(30) 
NOT NULL 
Name of the model 
FUNCTION_NAME 
VARCHAR2(30) 

Model function:

association  Association is a descriptive mining function. An association model identifies relationships and the probability of their occurrence within a data set.

attribute_importance  Attribute Importance is a predictive mining function. An attribute importance model identifies the relative importance of an attribute in predicting a given outcome.

classification  Classification is a predictive mining function. A classification model uses historical data to predict new discrete or categorical data.
The classification function can also be used for anomaly detection. In this case, the SVM algorithm with a null target is used (OneClass SVM).

clustering  Clustering is a descriptive mining function. A clustering model identifies natural groupings within a data set.

feature_extraction  Feature Extraction is a descriptive mining function. A feature extraction model creates an optimized data set on which to base a model.

regression  Regression is a predictive mining function. A regression model uses historical data to predict new continuous, numerical data.

ALGORITHM_NAME 
VARCHAR2(30) 

Algorithm used by the model:

algo_name  Setting that specifies the algorithm used by the model.

asso_max_rule_length  Setting that specifies the maximum length of a rule used by an association model.

asso_min_confidence  Setting that specifies the minimum confidence for an association model.

asso_min_support  Setting that specifies the minimum support for an association model.

clas_cost_table_name  Setting that specifies the name of the cost matrix table for a classification model.

clas_priors_table_name  Setting that specifies the name of the prior probability table for NB and ABN models. Decision Tree is the only classification algorithm that does not use priors.
For SVM classification models, this setting specifies the name of a table of weights.

clus_num_clusters  Setting that specifies the number of clusters for a clustering model.

feat_num_features  Setting that specifies the number of features for a feature selection model.

CREATION_DATE 
DATE 
NOT NULL 
Date on which the model was created 
BUILD_DURATION 
NUMBER 

Duration of the model build process 
TARGET_ATTRIBUTE 
VARCHAR2(30) 

Attribute designated as the target of a classification model 
MODEL_SIZE 
NUMBER 

Size of the model (in megabytes) 