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Thus, it should be accompanied by a metric taking negative classifications into account, just as Pre is commonly reported together with a recall.
On the other hand, the uncertainty estimate obtained after shifting the threshold (the green dashed line in Figure 6B) provides good estimates of the uncertainty associated with negative classifications, but underestimates somewhat the uncertainty for positive predictions that are not unanimous or nearly so.
Circles indicate positive classifications, crosses negative classifications.
These cases represent true positive and true negative classifications.
Finally, and as with any diagnostic test, one would expect a number of false negative classifications.
The optimal ROC cutoff point is the value for which the sum of percentages of false positive and false negative classifications is smallest ([1-sensitivity] + [1-specificity]) [ 6].
Similar(46)
A problem occurs with the use of agreement coefficients when there is a high number of items that have a sure negative classification.
A second remark made by Šicho, Vorśilák and Svozil [1] is that the power metric 'should be accompanied by a metric taking negative classification into account'.
Gaze shifts leading to a negative classification are grey.
Furthermore, some array probes may exhibit poor hybridization behavior, resulting in a false negative classification.
If a false negative classification was considered more serious than a false positive, this threshold could be adjusted.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com