In chemistry and machine learning, the applicability domain (AD) of a quantitative structure-activity relationship (QSAR) model defines the boundaries within which the model's predictions are considered reliable. It represents the chemical, structural, or biological space covered by the training data used to build the model.
In chemistry and machine learning, the applicability domain (AD) of a quantitative structure-activity relationship (QSAR) model defines the boundaries within which the model's predictions are considered reliable. It represents the chemical, structural, or biological space covered by the training data used to build the model.
Source: Wikipedia "Applicability domain" · CC BY-SA 4.0
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