There is a significant correlation between ROC area and accuracy (correlation coefficient = 0.94).
None of the current language measures correlated with autistic features, except for a significant positive correlation between VIQ and accuracy on the Eyes Test, a finding also reported by others (Peterson and Miller 2012).
The confidence metric was designed to assist the end user in a decision process and to facilitate the comparison of different models with the assumption that in each case there is a comparable correlation between confidence and accuracy.
In practice, the correlation between confidence and accuracy is strong.
If, instead, the cut-off for awareness is placed between scale points "almost clear image" and "weak glimpse" (Table 1c) we would conclude that GR has a high degree of awareness of stimuli presented in the injured part of her visual field, since there is a correlation between awareness and accuracy (p = 0.0004, Fisher's exact test).
Depending on the way the question is posed and the type of analysis used, researchers have obtained every imaginable answer: strong positive correlations between confidence and accuracy, null relationships, and even negative correlations (e.g., DeSoto & Roediger, 2014; Koriat, 2008; Sampaio & Brewer, 2009).
As for whole-genome training, there was a positive correlation between MAF, and accuracies for local training ranged from 0.20 to 0.49 for ±10 and ±100 flanking SNPs, respectively, but fluctuated less for ±50 and ±100 flanking SNPs.
The idea being that once people are made aware of the correlation between their confidence and accuracy, they are more likely to break out of their bad habits.
Although there is a positive correlation between association strength and accuracy for both color sets, this does not imply that one should maximize association strength when selecting colors (e.g. isolated merit function).
The correlation between the redundancy and accuracy of the prediction is best visualized using 2-dimensional examples as shown in Figure 2. The 2-dimensional examples involve the feature vector extracted from clean and noisy utterances, together with MAP reconstruction obtained for the noisy utterance.
