Many problems in analytics and data science are often solved using a binary classification model. A binary classification model has two possible outcomes, such as Yes or No and True or False. But not all problems fit neatly into two categories.
In fact, the popular (and not so cool anymore let's face it) Iris Data Set features three possible outcomes: one for each Iris species in the sample. And of course, there are prediction models as well, whose predictions fall along a continuum.
SAS Model Manager fully supports binary classification and prediction models already. But with the release of SAS Model Manager 2021.2.6, we’ve baked-in broader support for multinomial classification models. This includes metadata support for target event values and performance monitoring for multinomial classification models. The Project Properties pane in SAS Model Manager lists the possible event values for multinomial models and can automatically discover those values.
Additionally, Performance Monitoring includes charts and metrics that are specific to Multinomial models.
Learn more about our new features for multinomial models in the following video:
We are continuing to expand our support for various types of models. What kinds of model support would you like to see within Model Manager? Leave your comment below!
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