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"poor predictive capacity" is a correct and usable phrase in written English
You can use it to describe a situation where a process or tool is not accurate enough in forecasting future events or outcomes. For example, "The model's poor predictive capacity led to significant losses in the company's revenue."
Exact(3)
Using only one source of data resulted in poor predictive capacity.
Coyle and Keyzer (2016) argue that the cancellation regime's focus on risk assessment is 'akin to using a sledgehammer to crack a nut', drawing on scientific research that suggests that risk models have poor predictive capacity when applied to individuals (p. 88).
Poor predictive capacity of the adult PBPK model will ensure the same in the pediatric PBPK model.
Similar(57)
109 Although the presence of ctDNA has been shown to be prognostic for poorer outcomes in CRC, its predictive capacity requires much further work.
However, omission of these tests from our prediction model substantially decreased predictive capacity.
Because of the poor predictive ability of surplus production models, limitations in forecasting capacity have been included, with the possibility of using CLIMPROD as a training tool in mind.
Furthermore, many methods have poor predictive specificity, generating many false-positive predictions, or have poor sensitivity.
"I think the least important thing about science fiction for me is its predictive capacity".
The advantage of this theory is its predictive capacity.
But even this concept does not provide predictive capacity but only a historical explanation.
Model predictive capacity was greatest for valleys (R2 =0.88) (Table 3).
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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