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The phrase "avoid the prediction of" is correct and usable in written English.
It can be used when discussing strategies or methods to prevent or circumvent making predictions about a certain outcome or event.
Example: "In order to maintain flexibility in our planning, we must avoid the prediction of future market trends."
Alternatives: "steer clear of forecasting" or "refrain from making predictions".
Exact(1)
Their biological activities were predicted and experimentally measured to demonstrate the capability of our model to avoid the prediction of false positives.
Similar(59)
Avoiding the prediction of putative complete transcripts could appear a limitation, but this decision allows us to directly use our observations without any additional a priori assumptions [ 35].
To do that, we will need political leaders with as much enlightenment, passion and courage as Beveridge and Butler if we are to avoid the Barnet predictions of doom.
For example, imputation accuracy was increased by avoiding the imputation (prediction) of genotypes at loci with low MAF (see Figure 1b).
This procedure was adopted to avoid the overestimation of prediction accuracy and reduce the impact of sequence or domain homology on the prediction performance [58].
In addition, 5-fold cross-validation was employed in our experiments in order to avoid the overfitting of the prediction model and test the stability of the proposed model [ 45].
The present finding of insular activation associated with the motivation of avoiding punishments could reflect the prediction of receiving punishments, which could make us avoid punishments.
Avoiding the breathless predictions of geometrically expanding market and boundless revenues that accompanied earlier dot-com investment pitches, he instead played up business-to-business applications that are already integrated into today's economy.
To avoid the possibility of obtaining prediction results that may arise from chance correlation from a single calculation, the multivariate analysis was performed for 100 independent iterations where each run involves random data splitting to an internal and external sets consisting of 80 and 20%, respectively.
100 However, it has indeed taken countless great efforts from engineers and scientists to avoid the realization of many predictions of a near-term end of device scaling in the past.
In real life, it is often not known whether a SLiM is present in the data at all, and the statistics granting the ability to successfully avoid the return of FP predictions is critical.
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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