Sentence examples for metrics is given in table from inspiring English sources

The similarity matrix with all pairwise similarities of these compounds with various metrics is given in Table S1 in the Additional file 1.

The influence of the R a value, calculated from the ratio of number of actives n to the total number of compounds N, on the different metrics is given in Table 2.

An overview of each assembly's metrics is given in Table 1.

Both internal and external validation metrics are given in Table 1.

Examples of test vectors sufficient for full coverage according to the different coverage metrics are given in Table 1.

The statistics of estimation errors obtained from the experiment with both the 6-channel and the 3-channel systems for all the four estimation methods and the three evaluation metrics are given in Table 2.

Results of the cell line suitability computations using various centrality metrics are given in Tables  2 and 3. Instead of comparing the cell line scoring values directly we compare centrality values of the individual nodes given by the various metrics.

The exact method of calculating the evaluation metrics is given in Supplementary Material.

A more detailed description of these metrics is given in the Additional file 1.

The metric that is least sensitive to variations in the R a value, irrespective of the underlying model quality or cutoff threshold, is the CCR metric aIn this case the ROCE metric could not be calculated from Eq. 10 since (N s  − n s ) is equal to 0. The dependency of the different metrics on the applied cutoff value χ is given in Table 3.

The performance of binary classification is given in Table 2 and model metrics shown are sensitivity, precision, specificity and Cohen's κ value [41].