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In statistical analysis of binary classification, the F1 score (also F-score or F-measure) is a measure of a test’s accuracy. ( a type I error is ... more
For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more
For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more
For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more
For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more
For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more
For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more
Youden’s J statistic (also called Youden’s index) is a single statistic that captures the performance of a diagnostic test. Its value ranges ... more
Menzerath’s law, or Menzerath–Altmann law (named after Paul Menzerath and Gabriel Altmann), is a linguistic law according to which the increase of a ... more
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