COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Receiver Operating Characteristic
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Row Operating Characteristic
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Receiver or Characteristic
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Relational Operating Characteristic
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Detailed explanation-1: -An ROC curve (receiver operating characteristic curve) is a graph showing the performance of a classification model at all classification thresholds. This curve plots two parameters: True Positive Rate. False Positive Rate.
Detailed explanation-2: -The receiver operating characteristic (ROC) curve, which is defined as a plot of test sensitivity as the y coordinate versus its 1-specificity or false positive rate (FPR) as the x coordinate, is an effective method of evaluating the performance of diagnostic tests.
Detailed explanation-3: -The primary method used for this process is the receiver operating characteristic (ROC) curve. The ROC curve is used to assess the overall diagnostic performance of a test and to compare the performance of two or more diagnostic tests.
Detailed explanation-4: -The best place to operate the classifier is the point on its ROC which lies on a 45 degree line closest to the north-west corner (0, 1) of the ROC plot.