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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.

The Gatling Wait Plugin simplifies waiting for specific events in your testing scenarios by allowing customizable conditions, attempt management, and error handling.