These are the supporting files used for data processing and training machine learning models for this CS221 project on detecting cheating in multiplayer online games.

• Contains the player beahvior collection server.
• To run, Node.js and NPM must be installed. You can npm install && npm start inside the api directory to start the server.

• Contains data files that were in a format usable by R to run the stray algorithm, which can be installed following the instructions on their GitHub repostiroy.
• Sample commands used to find and visualize anomalies can be found in stray.r.

• Contains raw game state data and Python scripts used to preprocess the data and train an SVM classifier in the data directory.
  • Kills are stores in separate CSVS than game state data.
• The preprocess.py script will compute game state gradients
• The svm.py script will train an SVM using SKLearn on the training data output from preprocessing.