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.).
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benchm-ml/z-other-tools/4-h2o.R change in import format #41
Hi, for H2O cluster version: 3.8.3.3 the import function in benchm-ml/z-other-tools/4-h2o.R should be corrected to
otherwise the following error occours
Cheers Tobias