Neural Network Practice with Rapid Miner [2 marks] Create a neural network to predict risk levels for loan applicants at a bank. Complete the following steps. 1) Download the training data set labeled LoanData.csv. 2) Import the training data set into your RapidMiner repository and name it descriptively. Drag and drop the data set into a new, blank main process. 3) Set the Credit_Risk attribute as your label. Remember that Applicant_ID is not predictive. 4) Add a Neural Net operator to your model. 5) You need another data set to apply the model. You can create another set of data or, use Split Data operator and use it on the current data that you have. Use Split Data operator for this practice. 6) Apply your model. 7) Run your model and review your predictions for each of your scoring observations. Report your results, including any interesting or unexpected results