METHODS AND SERVERS FOR DETERMINING METRIC-DEPENDENT THRESHOLDS USED WITH MULTIPLE NESTED METRICS FOR BINARY CLASSIFICATION OF A DIGITAL OBJECT Russian patent published in 2023 - IPC G06F17/10 G06F16/906 G06N20/00 

FIELD: computer engineering.

SUBSTANCE: invention is aimed at reducing errors in processing a digital object in case of binary classification. It is achieved due to the fact that the method includes obtaining object-specific test data sets and a set of nested metrics and generating a set of predictions using them. During the first iteration, the server compares the predictions with the first combination of metric-dependent thresholds and generates the first accuracy parameters and the first recall parameters for the first iteration. During the second iteration, the server corrects the prediction from the first combination and thus generates the second combination, compares the predictions with the second combination, and generates the second accuracy parameters and the second recall parameters for the second iteration. The method includes selecting the first combination or the second combination as the target combination of metric dependent thresholds.

EFFECT: reducing errors in processing a digital object in case of binary classification.

18 cl, 7 dwg