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ROC curve Receiver Operating Characteristics(Roc) graphs have long been used in signal detection theory to depict the tradeoff between hit rates and false alarm rates over noisy channel a Recent years have seen an increase in the use of roc graphs in the machine learning community A useful technique for organizing classifiers and visualizing their performance a Especially useful for domains with skewed class distribution and unequal classification error costROC curve ◼ Receiver Operating Characteristics (ROC) graphs have long been used in signal detection theory to depict the tradeoff between hit rates and false alarm rates over noisy channel ◼ Recent years have seen an increase in the use of ROC graphs in the machine learning community ◼ A useful technique for organizing classifiers and visualizing their performance ◼ Especially useful for domains with skewed class distribution and unequal classification error cost
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