What does "the positive label" mean?

Answer: The most common type of machine learning augmentation is a binary classification.  A binary classification predicts whether or not an outcome is likely to occur for each individual record.  The model actually makes predictions on both sides of the coin though.  Using attrition as an example, the model predicts both likelihood of terminating and also likelihood of NOT terminating.  Since the likelihood of NOT terminating is just the inverse of the likelihood of terminating, it’s more useful to just review one outcome.  The outcome you want to focus on, in this case likelihood of terminating, is the positive label.  The positive label is identified on the Modeling Report in the upper right section.  Currently the positive label is automatically chosen by One AI as the last value when ordered ascending.

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