Open shenzhengbi opened 1 month ago
One-vs-rest (OvR for short, also referred to as One-vs-All or OvA) is a heuristic method for using binary classification algorithms for multi-class classification. It involves splitting the multi-class dataset into multiple binary classification problems
Hello, if I understood correctly, the results provided in the research paper for the NF-UNSW-NB15-v2 dataset are for binary classification. If so, do you have F1 score values for multi-class classification on this dataset? Thank you.
One-vs-rest (OvR for short, also referred to as One-vs-All or OvA) is a heuristic method for using binary classification algorithms for multi-class classification. It involves splitting the multi-class dataset into multiple binary classification problems
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How to convert a binary classification to a multiclassification problem?