Is this better suited for office hours? On Sun, Oct 31, 2021 at 2:07 PM Matemática A3K <matematica....@gmail.com> wrote:
> Hi! > > I have been building a tool that integrates statistical engines - > specially scikit-learn - with django called django-ai > <https://github.com/math-a3k/django-ai/tree/covid-ht>. > > With that tool, I have built another, covid-ht > <https://github.com/math-a3k/covid-ht>, which should showcase the power > of those together. > > That tool is meant to help health professionals with classification tasks > based on measurements > <https://covid-ht.readthedocs.io/en/latest/beyond_covid19.html>. > > The tool is heading to its first release as a technology preview, and in > this process I have faced a release-blocker issue for which I would like to > ask for your help: I can't find a consistent interpretation of the graphs. > > The graphs are called "conditional decision functions > <https://covid-ht.readthedocs.io/en/latest/classification/graphing.html>", > where each one is the contour of the decision function of a classifier for > an observation in 2 variables while leaving the others fixed. > > The graphs show classification regions as expected, but my initial > interpretation seems wrong (commented out > <https://raw.githubusercontent.com/math-a3k/covid-ht/master/docs/classification/graphing.rst> > ). > > If that explanation was good, I would expect that perturbing one variable > in a direction where the graph shows another class should switch the > classification, as the remaining variables are fixed and that should be the > value that the classifier uses to decide - which is plotted in that plane. > > That is not happening, as you may check here > <http://covid-ht.herokuapp.com/> (the classifier being used is an > Histogram-based Gradient Boosting Classification Tree). > > Any insight about the situation will be highly appreciated and thankful in > advance. > >
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