Based on the above case study, answer the following…

ElderHeat7795           Based on the above case study, answer the following…Image transcription textBusiness Scenario: Australian Wine Importers Australian WineImporters (AWI) asked you to develop a method of estimatingwine ratings (Points in fractional values) of imported w… Show more… Show more Image transcription textMIS772 Predictive Analytics Name Fd Type Missing StatisticsFilter (14 / 14 attributes): Search for Attribut Max w id Integer129970 54985.799 Lent country Polynominal US (54… Show more… Show more Image transcription textStd. Coefficient t-stat Code Coefficient Tolerance p-ValueAttribute 5td. Error -0.103 0.042 -0.060 0.999 4.354 0.000country description 0.022 0.230 0.007 0.995 0.097 0…. Show more… Show more Image transcription text1 004 country = us ……. . country – Garraany country = Argentinacountry = Chile country = centris prawns = Northern Spain . .. .Province – Calferris provece = Virginia province . Mads… Show more… Show more Image transcription textTh Countipoints Good Excellent points Figure 4 (Part A): Classdistribution of the discretised label attribute k-NN k=23Performance accuracy: 79.54% +/- 1.51% (micro avera… Show more… Show more Based on the above case study, answer the following question (Part A and Part B) Question 12 (10 points) Consider the business case explained at the top of this paper.You have been asked to develop a RapidMiner to optimise the performance of the model below by systematically evaluating a range of values of an appropriate hyper-parameter for the model. You have decided to use the operator “Optimize Parameters (Grid)”, for the sake of efficiency. Do not attach any drawings of the process, just answer the followingA) You have been asked to optimise the performance of the k-NN classifier model (refer Figures 4A, 4B). Your process must identify the optimal value of an appropriate hyper-parameter for the model by evaluating values in a grid search.WF. Explain the logic of workflow of your optimisation process in a short paragraph. (4 marks)TA. Identify the parameters that you would use to configure the “Optimize Parameters (Grid)” operator. (3 marks)TB. Identify the range of values that you would specify for the grid search. (3 marks)B) Explain how you would monitor the results of the grid search in terms of the performance of the k-NN model for different values of the hyper-parameter.TA. Identify an appropriate RapidMiner operator to consider the performance measures of the model for different values of the hyper-parameter. (2 marks).TB. Identify appropriate performance measures that you will investigate to consider different values of the hyper-parameter, and explain why these performance measures are relevant. (4 marks)TC. Explain how you would visualise the results of the grid search, to enable identification of the optimal value of the hyper-parameter (4 marks). BusinessBusiness – Other