Search results

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

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

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

In finance, the Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance ... more