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The Matthews correlation coefficient is used in machine learning as a measure of the quality of binary (two-class) classifications. It takes into account ... 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
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