a. Using \"TERA package create a "(34.5" classification model based on the [areclassified training data. In 'iIEKA, the C45 algorithm is implemented by "weltarlasaierslmethlB". Use lit-fold crossvalidation to evaluate your model accuracy. Record the nal decision tree and model accuracy statistics obtained from your model. Be sure to indicate the parameters you use in building your classification model {if you experiment with nondefault 1values]. You can save the statistics and results by rightclicking the last result set in the "Result list'r window and selecting "Save result butfer.'r You should also generate and create a screen shot of your tree by selecting the "'iu'isualize tree" command from the same menu [Note: you can resize the window as necessary, rightclick inside the window, and select the command "Fit to Screen" to get a better yiew of the full tree]. You should provide the decision tree together with the accuracy results from the crossvalidation as part of your submission