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 ...
Error-Correcting Output Codes (ECOC) provide a robust framework for decomposing multi-class classification challenges into multiple binary sub-problems. By constructing a codematrix that assigns each ...
A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...
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