35.1 Before Creating a Model

Explains the preparation steps before creating a model.

Models are database schema objects that perform machine learning. The DBMS_DATA_MINING PL/SQL package is the API for creating, configuring, evaluating, and querying machine learning models (model details).

Before you create a model, you must decide what you want the model to do. You must identify the training data and determine if transformations are required. You can specify model settings to influence the behavior of the model behavior. The preparation steps are summarized in the following table.

Table 35-1 Preparation for Creating an Oracle Machine Learning for SQL Model

Preparation Step	Description
Choose the machine learning function	See Choose the Machine Learning Technique
Choose the algorithm	See Choose the Algorithm
Identify the build (training) data	See Prepare the Data
For classification and regression models, identify the test data	See Data Sets for Classification and Regression
Determine your data transformation strategy and create and populate a settings tables (if needed)	See Specify Model Settings