Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...

While the computation of the confusion matrix for multi-class classification follows a well-developed procedure, the common approach for computing the confusion matrix for multi-label classification ...

A multi-class classification problem is one where the goal is to ... with neural networks is sometimes said to be part art and part science. The raw confusion matrix is a bit difficult to interpret, ...

To resolve these challenges, Apple researchers conducted an ML research study. As a result, they realize that the confusion matrix is complex and does not support multi-class output. The source paper ...

A classification problem including more than two classes, such as classifying a series of dog breed photographs which may be a pug, bulldog, or teabetain mastiff. Multi-class classification assumes ...