Question

В. Даны множества (Баллов: 10)А = (17; 23; 26; 27; 31), B = (16; 23; 25; 31; 36) и C = (17; 24; 26; 36). Сколько п (AUC) - в​

Answer 1

Ответ:

AUC={17,23,24,26,27,31,36}

Пошаговое объяснение:

Answer 2

AUC (Area Under the Curve) is a commonly used metric for evaluating the performance of classification models, particularly in machine learning and data analysis tasks. In order to calculate the AUC, we need to have a set of predicted probabilities or scores and the corresponding true labels.

In this case, you have provided three sets: A, B, and C. However, it is not clear what these sets represent. Are they the predicted probabilities or scores for some classification task? Or are they the true labels for a set of samples? In order to calculate the AUC, we need both the predicted probabilities (or scores) and the true labels.

If you can provide more information about the context and purpose of these sets, I would be happy to help you calculate the AUC.