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A 100% D-efficient design was achievable with 18 choice scenarios, three of which were 'rationality' tests (ie, scenarios in which one test is unequivocally preferable to the alternative on all attributes; these act as checks for 'rational' responding, which is an indicator of understanding and engaging with the task.
The information on all attributes is quantitative.
The sum of rough entropy on all attributes of cluster can be calculated as the total rough entropy.
The assessment value of the interval target-based full multiplicative form, i.e., (bar{U}_{i}), is the product of the normalized interval ratings regarding alternative (A_{i}) raised to the power of the associated significance coefficients on all attributes: bar{U}_{i} = prodlimits_{j = 1}^{n} {left( {bar{f}_{ij}^ right)^{{w_{i} }} }. (45).
The assessment value of the interval target-based ratio system, i.e., (bar{Y}_{i}), is the sum of the products of normalized interval ratings of alternative (A_{i}) and the associated significance coefficients on all attributes: bar{Y}_{i} = sumlimits_{j = 1}^{n} {w_{i} bar{f}_{ij}^.
When FP-growth was run on all attributes, more than 6000 rules were created.
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The addition of the latter up to 0.5% had no effect on likeness of all attributes, compared with control (without FPH).
Levels were assigned to all attributes based on data from transcripts and knowledge of the Malawian context, derived from literature.
97.8% accuracy was achieved immediately when edit distance was used on all the three attributes for the constant threshold (98.1% for the proportional threshold) within around 30 minutes (1 hour), and 98.4% accuracy was received for PDED (98.1% for the proportional threshold) around 1 hour, where completeness is above 90% when all the three attributes were used, as shown in Table 4.
According to the standard theory of feature integration [3], by focusing attention on the object, all attributes of an object are integrated into a unified representation for higher cognitive processing.
In structured medical reports (e.g. based on structured EHR) all attributes should be recorded.
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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