We mined all unresolved questions, without accepeted answers,
that include 18 million questions. Instances of
ml.p3.16xlarge (notebook) were used to extract features and build predictive models, respectively. We also developed our code to build predictive models in
Jupyter notebooks. Finally, we prepared a demo tool learned with
XGBoost algorithm that predicts whether a questions will receive an accepted answer or not.