Classification: Multi-Class, Label-Dependent

Its interesting to note down the different flavors of multi-class classification.

  1. Basic multiclass classification.
    • Here we have a fixed number of labels (K) and want to drop inputs into one of those K buckets.
  2. Basic multiclass classification with weighted examples.
    • Extension of the basic multi-class, where some examples have more weight than others
  3. Cost-sensitive multiclass.
    • Here, instead of just having one correct label (and all others incorrect), you can have different costs for each of the K different labels.
  4. Label-dependent features
    • This is for the case where we know that we can put in additional features that depend on the label
    • This is the flavor used in ‘action-dependent features’ mode of VW.




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