algorithm_learning_style in Machine_​Learning_​Algorithm

Name: algorithm_learning_styleVersion Id: 1.0.0.0
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: mlSteward: imgClass Name: Machine_​Learning_​AlgorithmType: ASCII_​Short_​String_​Collapsed
Minimum Value: NoneMaximum Value: NoneMinimum Characters: 1Maximum Characters: 255
Unit of Measure Type: NoneDefault Unit Id: NoneAttribute Concept: NoneConceptual Domain: SHORT_STRING
Status: ActiveNillable: falsePattern: None
Permissible Value(s)ValueValue Meaning
 Semisupervised_​LearningBoth labeled data and unlabeled data were used to inform the model.
 Supervised_​LearningSupervised_Learning indicates that labeled data has been used to train a model to yield the desired output.
 Unsupervised_​LearningThe algorithm did not employ any labeled data and instead discovered patterns from unlabeled data.