Keywords

#evaluation_of_binary_classifiers

Evaluation of binary classifiers

Quantitative measurement of accuracy

Evaluation of a binary classifier typically assigns a numerical value, or values, to a classifier that represent its accuracy. An example is error rate, which measures how frequently the classifier makes a mistake.

Sun 18th

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Evaluation of binary classifiers Multiclass classification Binary classification Confusion matrix Go/no-go Classification Local binary patterns Statistical classification Naive Bayes classifier Precision and recall
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