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This way, solutions to the relaxed problem (11) that violates constraints in (8) are penalized.
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Note that the equation in (18) gives for ( bar{q}(theta ) ) a solution that, due to (15)–(16), violates constraint (10) on [θ1, θ2].
The number of violated constraints is obtained by counting how many constraints are violated.
Recall is a similar metric and shows the number of correctly predicted satisfied or violated constraints as a percentage of all satisfied or violated constraints.
This advantage is crucial for giving feedback on potentially violated constraints to the designer.
Table 6 indicates the rules appropriate to fix the violated constraints.
Although learners tend to avoid the violated constraints, naturally, they cannot avoid some mistakes.
The distributions of the mean number of violated constraints were significantly different as expected however.
The larger nodes have a higher number of violated constraints than the smaller nodes.
Fig. 6 Graph of the number of violated constraints of products in assignment 1.
Many actions performed by learners showed an inclination to avoid as many violated constraints as possible.
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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