This method enables a modeller to incorporate the information obtained from the experimental data in the assessment of the uncertain model predictions and to find a balance between model performance and data precision.
From software modeling perspective, they will maintain a balance between model complexity and prediction performance because including too many predictors may lead to a loss in precision, whereas omitting important variables may result in biased prediction [ 23].
However, the power-law distribution achieved a good balance between model parsimony and fit.
The F1 score is a natural choice of the performance measure as it tries to balance between precision and recall; only when both precision and recall are high can F1 be high.
If Mr. Comstock never wears his heart on his sleeve, his singing maintains an ideal balance between swinging precision and good-humored warmth.
The precision threshold gleans the highest F-Score performance, producing a close balance between the precision and recall (0.5 and 0.48) for the classes.
This delicate balance between statistical precision and ecological realism, however, might be viewed as a welcome trade-off for sports injury prevention research.
Moreover, several relationships and classes have been defined in order to achieve a balance between ontological precision and usability.
This saturation level was taken as a suitable balance between the precision of oxygen saturation measurement and the expected yeast requirements for respiration.
Hence, a good model should balance well between model bias and model variance.
Precision then can be directly translated to the number of true called variants, or equivalently to the number of false calls, which allows finding problem-specific balance between sensitivity and precision, i.e. it allows a quantitative, precision-based filtering.
