Sentence examples for correspondence measures from inspiring English sources

Table 3 illustrates five correspondence measures (i.e., kappa values, agreement percent, precision, recall, and F1 scores) for the six key concepts (i.e., variation, heritability, differential survival, competition, limited resources, and non-adaptive ideas).

In this study, we examine the method's principles and utility and compare it to previously described bi-variate correspondence measures such as correlation, coherence, mean phase coherence and spectral comparison methods.

Prior to reporting the human-EvoGrader kappa and raw agreement correspondence measures for the four evolutionary reasoning models (e.g., scientific models, mixed models, naïve models, and no models), it is important to note that whereas binary coding characterized the concept presence/absence data reported above, quaternary (4*4) coding characterized the reasoning model data.

Intracranial recordings of four epileptic patients were then used for the measures' comparative analysis by creating a mean inter-electrode matrix for each of the correspondence measures and comparing the structure of these matrices during the inter-ictal and ictal periods.

None of these correspondence measures was deemed satisfactory because they either treat very different ratios as similar (points A and B in figure 1A).

13 It is reasonable to assume that correspondence, measured in this study, correlates well with adherence.

As the threshold increases, the correspondence measure tended to drop, which probably can be attributed to the drastically reduced number of MPSS measurements above the given threshold.

For the latter a correspondence measure can be calculated as the percentage of transcripts falling in the cells on the diagonal.

To remedy these pitfalls we will introduce a correspondence measure based on the difference between the log ratio) values in the two platforms for each individual transcript.

Moreover, the between-ratio difference provides the user with a correspondence measure per individual gene that can be used to select those genes for which a predetermined correspondence level is reached.

In the trend analysis, we define the trends correspondence measure (TCM) to represent the correspondence between the trend in the first (0 6 months) and second (7 24 months) parts of the trial for each biomarker.