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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

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

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

IT Grade refers to the International Tolerance Grade of an industrial process defined in ISO 286. This grade identifies what ... more