Computer Based Assessment Heart Disease Diagnosis Analytics

Part A: Data Exploration and Preparation

Page 1of 2Computer Based AssessmentHeart Disease Diagnosiswith AnalyticsIntroductionA hospital would like to assess the usefulness of Analytics models in predictingheart disease and provided a set of dataas recorded in AHD.csv.A data dictionary is provided in Appendix A. AHD is the outcome variable to be predicted. A recent research paper on this dataset is included as a PDF file.Part A: Data Exploration and Preparation(30%)1.Conduct data exploration. Show and explain interesting findings. What are the data quality issues (if any)?2.Create asummary table thatshowsimportant information. Explain the findings.Part B: Analyticsand Model Based Insight(40%)3.Execute CART and another model of your choice taught in this module. Which model perform better? Explain.4.Which of the two models would you recommend the Hospital to use? Explain.5.Based on your chosen model above, explain the key findings to Hospitalmanagement.Part C: Advanced Concepts(30%)6.The cross validationerror in CART is reported in the rpart package cptable. If the outcome variable is continuous, this is fine. But if the outcome variable is categorical, an important information is missing.What is the missing important information? Propose a way to obtain this information.7.Read the research paper S.Chellammal, R. Sharmilax (2019). Comment on their approach. Note: It is not required to knowthe techniques (MLP, SMO and NB) used in the research paper. Comment on their approach based on techniques and concepts learnt in any first course in Statistics module(e.g. AB1202or equivalent)and this module.