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AUC (Area Under the Curve): Difference between revisions
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AUC is like a score that tells us how well a robot is at discriminating things apart. For instance, if it has been trained to distinguish between cats and dogs, its score would be based on how many cats it can identify from all other items it examines. The higher this number is, the better equipped the robot becomes at telling cats from dogs." | AUC is like a score that tells us how well a robot is at discriminating things apart. For instance, if it has been trained to distinguish between cats and dogs, its score would be based on how many cats it can identify from all other items it examines. The higher this number is, the better equipped the robot becomes at telling cats from dogs." | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||