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Video titled "best explanation of confusion matrix false positive negative so far" explains the c. [machine learning]topics covered in this video. False positive rate is the probability that a test result will be given when true value negative.
False positive rate is the probability that a test result will be given when true value negative. Classification true positive & false ratiohow to calculate rate. Classification true positive & false ratiohow to calculate rate.
Welcome to "the ai university"about this video. Video titled "best explanation of confusion matrix false positive negative so far" explains the c. Welcome to "the ai university"about this video.
[machine learning]topics covered in this video. We need to be aware of some more terminologies like sensitivity (which is nothing but recall), specificity, false positive rate etcas will see in the nex. Let???s look at two examples.