Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
How did you exactly run the Tree-base jupyter notebook on the original CIDIDS2017 dataset, it's insane!!! 16 GB of memory is far from being enough to support the whole exps.
The original CICIDS2017 dataset is about 1GB. I'm also working on a machine with 16GB of memory and I believe it's enough to run it. Please try it on another machine.
How did you exactly run the Tree-base jupyter notebook on the original CIDIDS2017 dataset, it's insane!!! 16 GB of memory is far from being enough to support the whole exps.