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However, classification cannot keep the ordinal information because the damage levels are treated as nominal variables.
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In that case, the damage levels were averaged.
In general, the damage levels of blocks with nos.
In the town of San Possidonio, placed exactly in the middle of the municipalities mentioned above, the damage level is lower because of the low intensity observed.
The city block with the damage level between slight damage and serious damage was considered as moderate damage.
In other words, the misclassification of the damage level only spanned one level, and there was only one block of serious damage misclassified as the slight damage level.
Three different damage levels are introduced to examine the damage level effect on strain ageing.
The building damage levels of the 72 city blocks were divided into slight, moderate, and serious damage levels.
The frost damage of reinforced concrete (RC) is of great complexity than plain one tested in laboratory, because of damage levels depending on various shapes and scales of structures, ambient conditions as well as detailed arrangement of reinforcing bars.
Most of the misclassification situations were those of the slight damage level or the serious damage level being misclassified as the moderate damage level, and the moderate damage level being misclassified as the slight damage level.
This modelling method was used because the dependent variable (damage level) is a 3-level ordinal data.
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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