Supervised Learning
Supervised Learning uses Modeling Processes based on example feature vector and class pairs.
The learning process is supervised in that a model is trained on which feature vectors correspond with which classes using a Feature/Class Matrix:
Data => ETL => Feature/Class Matrix => Model Training => Trained Model
For model training, feature vectors are matched with the classes in a data matrix.