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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.).

Accesses parasite occurrence records from the London Natural History Museum's Host-Parasite database, which contains over a quarter of a million helminth records.

  • helminth
  • parasites
  • open-data
  • disease-networks