RapidMiner

2 weeks ago
 

 

  • What needs to be predicted forms the basis of your model
  • Preparing the data for the model
  • Understanding ‘Filter examples’ operator to remove all Examples (rows) with missing values
  • Using the ‘Decision Tree’ modeler and understating the Result (Graph)
  • Traversing through the decision tree graph
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