| Description: The algorithm_learning_style attribute describes the type of learning style adopted by the algorithm to model a problem. |
| 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 a large amount of unlabeled data have been used during training. |
| | Supervised_Learning | Supervised_Learning indicates that labeled data has been used to teach models to yield the desired output. |
| | Unsupervised_Learning | The algorithm has not received any labeled data and has discovered patterns on its own from untagged input. |