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The phrase "a more robust predictor" is correct and usable in written English.
It can be used when discussing the effectiveness or reliability of a model or method in predicting outcomes or behaviors.
Example: "In our study, we found that the new algorithm serves as a more robust predictor of customer behavior compared to the previous model."
Alternatives: "a stronger predictor" or "a more reliable predictor".
Exact(11)
In fact, the correlation grew stronger over time, and was a more robust predictor than a standard cognitive test often used to assess autistic toddlers.
Yet others argue that the conventional exponential function is a more robust predictor of f (U) than equation (1) because the conventional exponential function has two, as opposed to three, parameters [15], [33].
The HRD scores can be combined to produce a more robust predictor of HRD.
In severe sepsis SDMA is a more robust predictor of organ failure/mortality than ADMA.
Our results demonstrated that ePPID is a more robust predictor of protein evolutionary rate than PPID.
As microarray technology facilitates simultaneous analysis of thousands of genes, a larger panel of genes most likely yields a more robust predictor for quality control purposes.
Similar(49)
Moreover, artificial water fluoridation prevalence even appeared to be the more robust predictor.
This should be favorable from a machine learning perspective and result in more robust predictors.
This conclusion supports similar findings in other literature documenting associations between childhood externalizing disorders and deviant problem behaviors ([ 56, 57] in [ 21]) such as a paper by [ 21] which found childhood externalizing psychopathology to be a more robust prospective predictor than internalizing psychopathology of early onset substance abuse behaviors.
It is important for future research to determine which factors are more robust predictors of longevity and if they continue to be relevant in later life.
Period-specific mediation models show that opposition to abortion, homosexuality, and welfare spending have become more robust predictors of Republican affiliation.
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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