Sentence examples for mean between precision from inspiring English sources
More precisely, F1 is the harmonic mean between precision and recall.
It is given by the harmonic mean between precision and recall.
The F-measure F β is the harmonic mean between precision and recall, where β is a parameter for the relative importance of precision over recall.
Apparently, (F_{1}) is a harmonic mean between precision and recall, and a high value of (F_{1}) ensures reasonably a high balance between precision and recall.
To measure the performance of the classifier on a "small" class, a good alternative is to use precision, recall, or F-score (the harmonic mean between precision and recall).
The F-measure of a linkage is the harmonic mean between precision and recall.
For example, the precision of the negative class is computed as: (P mathit{neg}) = i/(c+f+i)); its recall, as: (R(mathit{neg}) = i/(g+h+i)); and the F1 measure is the harmonic mean between both precision and recall.
The F1 score is the harmonic mean between the precision and recall of the results, and lies between 0 and 1, with higher F1 representing better performance.
Its mean average precision is 87.5%.
Difference mean average precision.
It is worth emphasizing the importance of the interactions between Age and Precision for the goals of the present research: significant interactions mean that Precision affects the performance of young and aged differently.
