Climate-informed monthly runoff prediction model using machine learning and feature importance analysis

HIGHLIGHTS

• who: . and colleagues from the Anhui Normal University, China have published the research work: Climate-informed monthly runoff prediction model using machine learning and feature importance analysis, in the Journal: (JOURNAL)
• what: The authors attempted to develop a runoff prediction model by combining ML with importance analysis for each feature (FIA-ML) to improve the accuracy of runoff prediction and explain the variation law of runoff from the view of physical causes. In a summary, the aims of this study are: 1) to select appropriate predictors according to the importance measures computed by random forest . . .
  

   

  

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