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For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more
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
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
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
In probability and statistics, mean and expected value are used synonymously to refer to one measure of the central tendency either of a probability ... more
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