Filtreerimismõõdusid
Filtreerimismõõdusid refers to the metrics used to evaluate the performance of filtering algorithms. These metrics help quantify how well a filter separates desired data from undesired data. Commonly used measures include precision, recall, and the F1-score. Precision measures the proportion of retrieved items that are relevant, while recall measures the proportion of relevant items that are retrieved. The F1-score is the harmonic mean of precision and recall, providing a balanced measure of a filter's accuracy.
Other important metrics include the area under the receiver operating characteristic (ROC) curve (AUC-ROC) and the