Introduction to Information Retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
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<strong>Introduction</strong> <strong>to</strong> <strong>Information</strong> <strong>Retrieval</strong>Sec.14.3kNN: Discussion• No feature selection necessary• Scales well with large number of classes• Don’t need <strong>to</strong> train n classifiers for n classes• Classes can influence each other• Small changes <strong>to</strong> one class can have ripple effect• Scores can be hard <strong>to</strong> convert <strong>to</strong> 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 Rocchio14
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