Data Visualization
AUC-ROC stands for Area Under the Receiver Operating Characteristic Curve. It is a performance measurement for classification models, particularly in binary classification tasks, that evaluates the trade-off between true positive rates and false positive rates at various threshold settings. AUC provides a single scalar value to summarize the model's ability to distinguish between classes, making it a crucial metric in assessing the effectiveness of feature selection and extraction methods.
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