Neural Networks and Fuzzy Systems
The area under the ROC curve (AUC) is a performance measurement for classification models, particularly in the context of binary classification. It quantifies the overall ability of a model to discriminate between positive and negative classes, with a value ranging from 0 to 1, where 1 represents perfect classification and 0.5 indicates no discrimination ability. This metric connects closely with various aspects of model evaluation in pattern recognition, highlighting the effectiveness of neural networks in distinguishing different patterns.
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