An Approach for Machine-Learning Modelling

We include 1) data cleaning including variable scaling, missing values and unbalanced variables identification and removing, and strategies for variable balance improving; 2) modeling based on random forest and gradient boosted model including feature selection, model training, cross-validation and external testing. For more information, please see Deng X (2021). ; (Oct. 2016). R Interface for H2O, R package version <>; Zhang W (2016). .


Reference manual

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0.0.2 by Xinlei Deng, 4 months ago

Browse source code at

Authors: Xinlei Deng [aut, cre, cph] , Wangjian Zhang [aut] , Shao Lin [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports tidyverse, h2o, performanceEstimation, dummies, dplyr, ggplot2, pROC, survival

See at CRAN