What is the difference between a data science training run and a data science scoring run?
A.
A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A training run requires that a scoring run has occurred.
B.
A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A scoring run requires that a training run has occurred.
C.
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A scoring run requires that a training run has occurred.
D.
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred. References:https://experienceleague.adobe.com/docs/experience-platform/data-science-workspace/overview.html?lang=en#data-science-training-and-scoring
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