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Binary classification
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===Other metrics=== There are a number of other metrics, most simply the [[Accuracy and precision#In binary classification|accuracy]] or Fraction Correct (FC), which measures the fraction of all instances that are correctly categorized; the complement is the Fraction Incorrect (FiC). The [[F-score]] combines precision and recall into one number via a choice of weighing, most simply equal weighing, as the balanced F-score ([[F1 score]]). Some metrics come from [[regression coefficient]]s: the [[markedness]] and the [[informedness]], and their [[geometric mean]], the [[Matthews correlation coefficient]]. Other metrics include [[Youden's J statistic]], the [[uncertainty coefficient]], the [[phi coefficient]], and [[Cohen's kappa]].
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