• nltk.classify package NLTK 3.3 documentation

    The set of labels that the classifier chooses from must be fixed and finite. ..... A feature encoding that calls a user supplied function to map a given featureset/label pair to a sparse ...... nltk.classify.util. log_likelihood (classifier, gold)[source]¶.

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  • nltk.classify.util NLTK 3.3 documentation

    TXT """ Utility functions and classes for classifiers. .... [docs]def accuracy(classifier, gold): results = classifier.classify_many([fs for (fs, l) in gold]) correct = [l == r for...

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  • Classification rule Wikipedia

    Given a population whose members each belong to one of a number of different sets or classes ... When the classification function is not perfect, false results will appear. In the ..... Bayes classifier · Bayesian inference · Binary classification · Decision rule · Diagnostic test · Gold standard (test) · Loss functions for classification...

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  • Evaluating the performance of single classifiers against ...

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    Greedy approach was used for classifier selection, while gold standard datasets ... into a source instance with the same class label through prediction function.

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  • Gold standard (test) Wikipedia

    In medicine and statistics, gold standard test is usually diagnostic test or benchmark that is the best available under reasonable conditions. Other times, gold...

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