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Photosets, assembled by individual users, appear to evolve from the bottom-up, derived from the components of an individual user's context, and are based on selected attributes which a particular user's photos share.
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For example, queries that enforce the mutual exclusion rule on selected attribute values can be written for a particular dataset.
See Appendix "Attribute selection based on the information gain method" for information on the numbers of selected attributes and the attributes with highest information gain value.
The resulting clusters, and the classifications that can be developed from them, depend on the selected attributes and — to some extent — on the method of clustering.
Two types of indicators were obtained and mapped: i) Recreation and ecotourism potential (REPf) which, based on the selected attributes, measured recreation potential in a 0 100 point scale; and ii) Recreation and ecotourism opportunities (REOi), which adjusting REPf by carrying capacity, measured the visitors per hectare that could sustainably recreate in the study area.
At least one of the selected attributes has a statistically significant impact on the estimated utility.
We selected attributes based on a literature review on QIPs and on two criteria: supposed efficacy suggested by the literature and credibility of application in the French health care context (see Table 1).
The performance of a classification problem depends on the relevance of the selected attributes with regard to its class.
However, the performances of these methods depend to some extent on their main parameter, the number K of randomly selected attributes at each node of one tree.
Information on the relative importance of the selected attributes is useful for policy makers.
Inferred uses a latent class model to classify respondents depending on the estimated probability that respondents ignore selected attributes.
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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