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Besides, we introduce two confusion matrices for recall and precision.
After performing leave-one-out CV, confusion matrices for recall and precision are firstly calculated, as shown in Figure 5.
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It should be noted that the confusion matrix for recall will only make sense along the column, while precision makes sense along the confusion matrix table row.
According to the normal and white rows on confusion matrix for recall, we observe that normal facial color is slightly prone to be predicted as white and vice versa.
In addition, we also present confusion matrices visualization both for recall and precision.
These points are further clarified in the following sections, in which we will show how to compute and the covariance matrix for v. Recall that the mean of MQTL effects is μ, where row i of Q has the number of Q2 alleles carried by animal i.
Left confusion matrix is computed for recall metrics and right one for precision metrics.
Then the Matrix Study Phase and the Immediate Matrix Recall for the incongruent matrix was administered analogously.
The mixed three-factorial analysis of variance (ANOVA) with Group (synesthetes, controls) as between-subjects factor and Recall Phase (Immediate Matrix Recall, Delayed Matrix Recall I) and Grapheme Color (black, incongruent) as within-subject factors revealed a significant main effect for Recall Phase (F 1,24) = 36.67, p<.01.
Furthermore, the period for recall (2 vs. 4 weeks) did not significantly affect the reliability of nurse recall.
The reason for recall.
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