"essential prediction" is correct and usable in written English.
You can use it when you are referring to an idea, opinion, or forecast that is extremely important or necessary. For example, "These essential predictions will guide our investment strategy moving forward."
Software fault prediction is a discipline that predicts the fault proneness of future modules by using essential prediction metrics and historical fault data.
An essential prediction of biased competition is that a weaker offset signal would favour the extrapolated motion representation.
The temperature variation of the viscosity over 12 orders of magnitude, seen in Fig. 3, is the essential prediction of our calculation.
Experimental data from a series of mica-containing glass-ceramics with contiguous platelet microstructures are used to confirm the essential predictions of the model.
In the long-term, computational physiological models will be refined, linked and validated until they are capable of providing essential predictions to clinicians when healthcare decisions need to be made.
Comparing the predictions to experimental E. coli knock-out mutant phenotypes (in rich and glucose minimal media [ 38, 39], the conserved non-essential predictions and essential predictions were both 89% accurate (595/667 and 122/136, respectively).
On the other hand, false essential predictions may suggest that alternate pathways are missing from the model.
For narrow range essential predictions the specificity is 100% and no hybrid or original model parameters are found to be essential.
Amongst the false essential predictions which led to modifications of the GPR component, six cases involved associating additional enzymes to reactions.
For modulatory parameter predictions the sensitivity decreased to 60%, while the specificity was 96% and for essential predictions, the sensitivity was 67% and the specificity remained 100% (Table 3).
The essential predictions of our model are (1) that there are activity breaks that increase colony fitness (and might consequently be favoured by selection), (2) a clustered temporal structure of fitness increasing activity breaks similar to that observed in the field and (3) a remarkable stability of the temporal pattern within a wide range of model parameters.
