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Recall that the table Comparison of two encodings from M to S showed that the second encoding scheme would transmit an average of 5.7 characters from M per second.
Encoding 2 of M using S frequency M → S 50% A 0 25% B 10 12.5% C 110 12.5% D 111 The results are summarized in the table Comparison of two encodings from M to S. This table shows that the second encoding uses 30 fewer characters from S than the first encoding.
Suggestions: allow multiple domains to be included and generate a basic table comparison.
In this table, comparison is made for different L z /R and L z /h ratios, and it is observed there is good agreement between the results.
The greatest impact is due to abandoning hashing for the connection table comparison and introducing lists to be minimized additional to the connection table.
Table: comparison of WT branching patterns to different model outputs.
Similar(49)
To address the limitation of apprentice-solver versus apprentice-non-solver of the first method, a cross-table comparison between the two groups [apprentices who solve (1) versus those who do not solve (0) the task] regarding their skill-mastering [apprentices who use a certain skill correctly (1) as opposed to those who do not use a certain skill, or use the skill incorrectly (0)] were added.
Table 2 Comparison.
Table 4 Comparison of data.
Table 1 Comparison between schemes.
Table 5 Comparison of Inf.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com