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kNN: Discussion

  • No feature selection necessary

  • Scales well with large number of classes

    • Don’t need to train n classifiers for n classes

  • Classes can influence each other

    • Small changes to one class can have ripple effect

  • Scores can be hard to convert to probabilities

  • No training necessary

    • Actually: perhaps not true. (Data editing, etc.)

  • May be expensive at test time

  • In most cases it’s more accurate than NB or Rocchio

Speaker notes:

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