Sentence examples for a simple predictor of from inspiring English sources

The phrase "a simple predictor of" is correct and usable in written English.
You can use it when discussing something that can forecast or indicate a particular outcome or trend in a straightforward manner.
Example: "The number of hours studied is often seen as a simple predictor of exam success."
Alternatives: "a straightforward indicator of" or "an easy forecast of".

Exact(8)

We also found that the defect-free property of the precursor fiber was not a simple predictor of CMS fiber performance.

Arable land was used as a simple predictor of landscape complexity, as it is closely related to landscape parameters such as habitat type diversity.

A new parameter [−ΔGCNP−P], defined as the per carbon difference in Gibbs free energy of adsorption between alkane and polar probe molecules, provides a simple predictor of surface hydrophobicity and corresponding catalyst activity in fatty acid esterification.

The use of CPPs has also been proposed as a simple predictor of the overall uremic milieu propensity for calcification [ 106].

If so, the Weibull distribution can be used as, or might even be ground for, a simple predictor of fixation locations.

A simple predictor of VF on second line ART could also be useful in selecting patients who may benefit from GART.

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Similar(52)

To determine whether assessing the extent of terminal hair growth in a subset of the traditional nine areas included in the modified Ferriman-Gallwey (mFG) score can serve as a simpler predictor of total body hirsutism when compared with the full scoring system, and to determine if this new model can accurately distinguish hirsute from nonhirsute women.

Dense area is a simpler predictor of breast cancer risk which could help simplify breast cancer risk prediction models, which in turn could be used to optimize breast screening intervals.

The error in this case is expressed relative to the performance of a simple predictor, the average of the actual values (computed on the training data set).

The comparison of species richness and composition is particularly problematical because species richness is a simple predictor with few degrees of freedom (1 when treated continuously) while species composition has many (294 here!) and so the variance components approach is particularly useful.

In addition, a feed-forward control consisting of a simple predictor was added to reduce tracking error.

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