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# 2020 project for the data mining course
* [link to assignment](http://www.cs.uu.nl/docs/vakken/mdm/assignment1-2020.pdf)
* [link to article datasets part 2](https://www.st.cs.uni-saarland.de/softevo/bug-data/eclipse/promise2007-dataset-20a.pdf)
This project is a from scratch implementation of a classification tree using
the theory we learned in the course. We were awarded a 10/10 for the coding
part, and 8.5/10 for the report, the code was said to be very readable, and we
also avoided time bottle necks using numpy.
The concepts of impurity reduction and the gini-index were used to construct an
algorithm that computes the "best split" at each step. We were also required to
implement ensembling methods.
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