16 Mean diagnostic accuracy (proportion of correct diagnoses over all diagnoses) was 0.42, representing the expected accuracy of the control group.
21 Mean diagnostic accuracy (proportion of correct diagnoses over all diagnoses) was 0.63 for control (95% confidence interval [95% CI] = 0.60 to 0.67), 0.69 for early support (95% CI = 0.66 to 0.73), and 0.65 for late support (95% = CI 0.62 to 0.70).
Columns are: p is the weight on a diagonal matrix, Bayes Acc. is the optimal accuracy possible, n is the total sample size, Prev. is the prevalence from the most prevalent group, % t is the optimal allocation proportion to training, Full data Accuracy is the mean accuracy when n = 240, and Opt.
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).
The mean accuracy across items (words) was then computed.
The mean accuracy across participants was 0.82 (SD = 0.09).
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).
The mean IQS is lower than the mean accuracy in both EA and AA.
Percent change in 2-back accuracy was calculated as (mean accuracy on 2-back/4 minus mean accuracy on 2-back/1) divided by mean accuracy on 2-back/1.
