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

Feature/Class Matrix

For model training, feature vectors are matched with the classes in a data matrix as illustrated below:

References

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