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Accuracy

The accuracy of a measurement system is the degree of closeness of measurements of a quantity to that quantity’s actual (true) value. Accuracy is ... more

Specificity ( true negative rate)

For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more

Matthews correlation coefficient

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

Sensitivity ( true positive rate)

For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more

False Discovery Rate

For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more

False Omission Rate

For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more

Positive Predictive Value (precision)

For classification tasks, the terms true positives, true negatives, false positives, and false negatives compare the results of the classifier under test ... more

Negative Predictive Value

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

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

F1 score

In statistical analysis of binary classification, the F1 score (also F-score or F-measure) is a measure of a test’s accuracy. It considers both the ... more

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