Wikidata/StrepHit

One VS multiple classifiers

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Investigate which setting works best in the supervised classification:

  1. One single classifier for the whole set of classes
  2. Multiple classifiers, each for a subset of classes

Provide different evaluation reports by varying only the number of classifiers (1 VS n).