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
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
...can't find what you're looking for?
Create a new formula