A multi-class classification problem is one where the goal is to predict a discrete variable that has three or more possible values. For example, you might want to predict a person's political leaning ...
Dr. James McCaffrey of Microsoft Research: When multi-class data is skewed toward one or more classes, it's very important to analyze accuracy by class. A multi-class classification problem is one ...
AI classification sorts data, aiding in tasks like spam detection. Two AI learner types: "lazy" for large, evolving data, "eager" for immediate sorting. In investing, classification helps identify ...
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