| Description: The algorithm_learning_style attribute describes the type of learning style employed by the algorithm to solve a problem. Specifically, the learning style depends on whether labeled or unlabeled data was employed to train the model. Labeled data includes observations that are associated with a desired output such as a class or numeric value. |
| Namespace Id: ml | Steward: img | Class Name: Machine_Learning_Algorithm | Type: ASCII_Short_String_Collapsed |
| Minimum Value: None | Maximum Value: None | Minimum Characters: 1 | Maximum Characters: 255 |
| Unit of Measure Type: None | Default Unit Id: None | Attribute Concept: None | Conceptual Domain: SHORT_STRING |
| Status: Active | Nillable: false | Pattern: None |
| Permissible Value(s) | Value | Value Meaning |
| | Semisupervised_Learning | Both labeled data and unlabeled data were used to inform the model. |
| | Supervised_Learning | Supervised_Learning indicates that labeled data has been used to train a model to yield the desired output. |
| | Unsupervised_Learning | The algorithm did not employ any labeled data and instead discovered patterns from unlabeled data. |