Catch 22

By LUCID

Paradox Of The Stranger Things

2019 

Paradox Of Accuracies 

The exactness Catch 22 is the dumbfounding finding that precision is anything but a decent measurement for prescient models while ordering in prescient examination. This is on the grounds that a straightforward model may have an abnormal state of precision however be too unrefined to possibly be valuable. For instance, if the frequency of class An is predominant, being found in 99% of cases, at that point anticipating that each case is classification A will have a precision of 99%. Exactness and review are better measures in such cases. The hidden issue is that there is a class awkwardness between the positive class and the negative class. Earlier probabilities for these classes should be represented in mistake investigation. Exactness and review help, however accuracy also can be one-sided by exceptionally uneven class priors in the test sets.