The phrase "accuracy of gender" is correct and usable in written English.
It can be used in contexts discussing the precision or correctness of gender identification or classification.
Example: "The accuracy of gender in the survey results was crucial for understanding the demographic trends."
Alternatives: "precision of gender" or "correctness of gender".
In this work, we propose a convolutional neural network ensemble model to improve the state-of-the-art accuracy of gender recognition from face images on one of the most challenging face image datasets today, LFW (Labeled Faces in the Wild).
An analysis of publicly available face image databases has shown that they have limited use for purposes of analysis of accuracy of gender, race and age classification (only the accuracy of some of the attributes may be analyzed).
For the D. simulans Ky line, the accuracy of gender classification was 94% in males and 92% in females (Table 2 and Figure 4B).
The study examined the accuracy of gender-specific self-reported weight in a sample of adults.
The receiver operating characteristic (ROC) curves, a tool for displaying the discriminatory ability of a diagnostic marker in distinguishing between cases and controls, were used for evaluation of discriminative accuracy of age, gender, BMI and SNPs.
The Bechdel Test is a far from perfect measurement of the accuracy and integrity of gender portrayal, as Alison Bechdel herself has admitted, but it's one that has firmly stuck in film parlance and criticism.
In the ventral temporal cortex, decoding accuracy for discrimination of gender (A'gn) was above chance in the right (p<0.01, 17 sessions, 7 subjects, mean number of electrodes = 18.9) but not in the left hemisphere (p>0.05, 21 sessions, 8 subjects, mean number of electrodes = 11.0) with a significant difference (two-tailed unpaired t-test, p<0.05).
The final model used aggregated predictions from isolated links, ego-network features and alters gender or age in a single model and achieved an accuracy of 65% for gender and 51% for age prediction.
The lack of attentional modulation for gender decoding (A'gn) may be due to floor effects; we did not find good decoding accuracy for gender discrimination in any recording location (Figure 6), time window, or frequency band.
They evaluated the prediction performance of each feature category using multiple learning algorithms and reported an accuracy of 55% for gender prediction and 24% for age prediction using only isolated link features.
The personal background data covered age to an accuracy of one month, gender, whether the individual was an immigrant or not, and the history of previous conscious sedation and/or DGA.
