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. 2023 Jan 10;20(2):1215. doi: 10.3390/ijerph20021215
Algorithm 2: Model Learning Algorithm.
  • Require: data D

  • Ensure: model M

  •     Transform the labels of each row of the data into a list L

  •     Convert the answers to the questions into integers I

  •     Split the data D into training Dtrain and test sets Dtrain

  •     Train a Multi-Output Classifier MOC using a RandomForestClassifier RFC with Dtrain as input

  •     Set the number of estimators in RFC to 10

  •     return M=MOC(RFC,nestimators=10)