The phrase "average error values" is correct and usable in written English.
It can be used in contexts involving statistics, data analysis, or performance measurement to refer to the mean of error values in a dataset.
Example: "The average error values indicate that our model's predictions are generally accurate, but there are some outliers that need to be addressed."
Alternatives: "mean error values" or "typical error values".
However, the SFFTv3 attains a lower absolute average error values than other SFFT versions.
Moreover, the average error values for were higher than that of and.
Expressed as a percent error, we found the following average error values: histidine 3.3%; tryptophan 2.7%; threonine 3.8%; isoleucine 2.5%; leucine 3.6%; lysine 3.3%; methionine 4.2%; cystine 4.4%; phenylalanine 2.9%; tyrosine 3.4%; valine 1.9%.
This procedure was repeated five times and average error values were calculated.
The developed models were validated using internal and external validation methods, and the prediction errors were checked using mean percentage deviation and absolute average error values.
In Fig. 4 we show for this same set of proteins that using multiple structures for a given protein may improve the reliability of our method to an average error value of 48.4% (sensitivity 67.6% and specificity 63.9%).
However, in the most common scenario where no information is available about the number of critical residues for a protein, following the common assumption that critical residues are the most conserved ones [22], the average error value increases for this same set to 49.6% (sensibility 53.3% and specificity 83.3%).
All four methods selected the filter pair (XF2014-XF2030) for the minimum Δ E a b * with the average mean error value of 0.387.
The averaged error value is ±11 μmol L−1 or 39% as a fraction of the averaged value.
Hence, although developing a single error value per dynamic mesh is out of our purpose, to be able to compare our metric, we unified our 3D map into a single score by averaging the error values of each vertex.
In order to optimize the trade-off between transmittance and sheet resistance, the following figure of merit (ΦFM) [25], as defined by Haacke, was introduced into our work: Fig. 3 a The averages and error values of sheet resistance of AgNWs-only and AgNWs with 3, 6, and 9 nm AZO electrodes.
