The phrase "accuracy proportion" is correct and usable in written English.
It can be used in contexts where you are discussing the ratio or percentage of accuracy in a particular measurement or assessment.
Example: "The accuracy proportion of the test results was found to be 95%, indicating a high level of reliability."
Alternatives: "accuracy rate" or "precision ratio".
Classification accuracy (proportion of correctly classified trials) was used to evaluate classifier performance.
For congruent conditions, the probability of choosing the higher reward corresponds to accuracy (proportion correct).
We reported no difference in the accuracy (proportion of correct choices) between fish trained with 8 (mean ± std. dev.: 0.753±0.556) and those trained with 4 figures as positive (0.796±0.071; independent t-test t 8) = −1.06, p = 0.319).
Performance accuracy (proportion of correct choices) was calculated over a sliding time window 30 trials wide.
Smoothed performance accuracy (proportion correct choices) was calculated over a sliding time window of 30 trials.
Accuracy (proportion correct responses on the trial following reversal, Treversal + 1) was computed for each trial type.
Figures show row accuracy proportions for the sake of intelligibility.
Again, both raw accuracy proportions and arcsine transformed accuracy data were entered into the analyses.
Recollection accuracy (proportions of responses attributing items to the correct source) and reaction times for the scanned retrieval task are displayed in Table 1.
Classification error is 1.0 minus classification accuracy, the proportion of correct decisions, a measure we introduced in Section 8.3 (page 8.3 ).
We evaluated the performance of the algorithm by reporting the test accuracy (the proportion of total correct guesses with respect to the total test set), the precision (the fraction of retrieved instances that are relevant), and the recall@1 (the fraction of relevant instances that are retrieved) after 4,000 iterations.
