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. 2022 Mar 8;5(1):e28333. doi: 10.2196/28333

Table 2.

Summary of all hyperparameters tuned in the repeated cross-validation with the RFE algorithm.

Algorithm or model Hyperparameters
RFEa algorithm
  • Number of features to select

  • Number of features to reduce at each step

Machine learning model (RFb)
  • Number of trees

  • Maximum tree depth

Machine learning model (XGBoostc and LightGBMd)
  • Number of trees

  • Maximum tree depth

  • Learning rate

aRFE: recursive feature elimination.

bRF: random forest.

cXGBoost: extreme gradient boosting.

dLightGBM: light gradient boosting machine.