Compare the value of a hold out set to k-fold cross validation for validating the model. Suggest a filter to be used to improve validation results. Explain your answer..

 

  • Clean and prepare the attached data file for use in Weka as an .arff file. Show your steps. (Make sure that the label is in the last column.)
  • Compare class determination using Random Forest and Random Tree.
  • Compare the value of a hold out set to k-fold cross validation for validating the model. Suggest a filter to be used to improve validation results. Explain your answer..
  • For one model, find the weakest attribute. Explain how you found it.