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The phrase "accounting for performance" is correct and usable in written English.
It can be used in contexts where you are discussing the evaluation or consideration of performance metrics or outcomes.
Example: "In our analysis, we are accounting for performance to ensure that all factors influencing the results are taken into consideration."
Alternatives: "considering performance" or "factoring in performance".
Exact(4)
By distributed data, we mean the strategies used to distribute data in a large-scale system while accounting for performance and scalability.
These methodological factors include making direct statistical comparisons, using common stereotactic space, using both single subject and group analyses, and accounting for performance differences.
The traditional approach in accounting for performance failures such as combat friendly fire/fratricide and the lesser-examined cyber FF is to regard these events as aberrations failures of an individual or a system.
Multivariate analyses were undertaken according to tumour type, accounting for performance status, disease stage, previous surgery/radiotherapy and weight loss.
Similar(55)
Two methods, a hierarchical factor model predicting latent growth and a double dissociation design comparing children divided into high and low performers, tested whether general and/or specific components accounted for performance on intelligence measures.
But schools must be held to account for performance.
But money does not account for performance, according to the evaluations.
It said the BBC would "account for performance more publicly than ever before".
And physicians — facing escalating demands to lower costs, adopt expensive information technology, and account for performance — have been flocking to join them.
In his book "Clutch: Why Some People Excel Under Pressure and Others Don't" (Portfolio, 2010), Paul Sullivan looks at the criteria that account for performance -- including financial performance -- in times of challenge or adversity.
Market power, managerial slacks and other sources of inefficiency abound and we must factor in their variations to properly account for performance changes.
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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