* Added new examples to the training set

* Extracted some magic numbers into constants

* Refactored some more

* Refactored a bit

* Extracted a class for holding the strings, used as labels + handled a

* The UI for classification is fully working now. Refactoring is needed,

* WIP

* Actually reading the input from the GUI

* Added UI for entering movie data

* Refactored a bit

* Extracted classes to separate packages

* Computing the belonging of new movies to the respective classes

* Returning the distance to the nearest neighbours as well

* Taking all the model fields into account. Actually getting the closest K neighbours, instead of just the closest one

* Minor refactoring