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Our hypothesis is that not all of the fields are of similar importance.
As such, our idea is to use some kind of Hill-Climbing algorithm to determine just what combination of fields (or possible weights) produces the best output.
+
+## Nordlys
+The Nordlys toolkit was used to create the results described above, as such, it provides us with the means to reproduce these results.
+In addition, Nordlys provides a Python interface that can be used to implement the Hill Climbing algorithm.
+
+The data that is used by the results is also bundled with the Nordlys Python package, and has already been indexed.
+This allows us to use the Python package without having to convert/index the data ourselves.