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To evaluate the performance of the algorithm, we set the assigned value of the algorithm parameters.
where σ ̂ ( i = 0 ) 2 is the initialization value of the algorithm.
All cases found in the validation set were true positives, mirroring the high positive predictive value of the algorithm in the derivation set.
Thus, phenotypic data is the input value of the algorithm, whereas perceived age is the output.
Positive predictive value of the algorithm was 98 %, with a sensitivity of 70%%.
The value of the algorithm depends upon retention of an acceptable proportion of coughs from patient records.
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Were the values of the algorithm parameters presented?
As a result, we were able to obtain the optimal free parameter values of the algorithm for each channel independently.
Second, a modification of the original method is presented by including fuzzy logic to dynamically change the main parameter values of the algorithm during execution.
Towards avoiding unwanted leakages, special care has to be taken in the mapping of the registers to intermediate values of the algorithm.
According to the average data of several experiments and the parameter values of the classical experiments, the empirical parameter values of the algorithm are obtained.
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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