Classification algorithms, such as k-Nearest Neighbors, are well known in machine learning area, but I faced this new expression Monotone classification and I wonder what does it stand for.
I guess that it has something to do with some peculiar characteristic of the dataset, e.g. if all the objects have growing attributes and, plotted in a 2D plane, they look as if they were gathered around the line of the function f(x) = x or something like this, but as english is not my native language, I couldn't understand the raw meaning of Monotone and Monotone classifiers, the things I read were so confusing that I don't think it is worth it to mention.
I read this:
The evaluation of teaching courses based on surveys gathered from students’ opinions can be categorized as a monotonic classification problem if it intends to predict a final qualification that summarizes the general quality of the course. The students are asked to evaluate each course according to several aspects related to interest, achieving appropriate class participation, teaching resources, capabilities of the teacher, etc.
I would like to be able to say why these surveys behave as a monotone dataset, but no explanation fits what I have in mind about the monotone definition.