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Ivor BuquetlowdManaging DirectorWorld of BargainsBargain HouseMK5 6LPDear CSCU9T6 Student,Let me introduce myself, I am Ivor Buquetlowd, the owner of a chain of over 100shops in the UK and I would like you to help me run them more efficiently. The shopsare all similar, but they make amounts of revenue varying from £1 million to over £5million per year. I want to understand why some shops are doing better than others. Ialso want a computer program that lets me enter the details of a shop and gives me aprediction of how much money that shop should make.I have data describing the following aspects of each store: Town Store ID Manager name Staff numbers Floor Space and Window Space Car park (yes or no) Demographic score Location (Shopping Centre, High Street, Retail Park) 40 min, 30 min, 20 min and 10 min population size Store age Clearance space Competition number (how many competing stores are near ours) Competition score (from how good the competing stores are) Revenue from last yearI have asked my IT department to make the data for my stores available to you. Youcan download it from Canvas.Please remember that this data is commercially sensitive and you should not show itto anybody or discuss your findings with anybody except Dr Jingpeng Li.I would appreciate it if you could use the Weka software to build a predictor capableof estimating the revenue that a store should generate based on its values for thevariables listed in the data. Remember, it costs a lot of money to collect each value, sothe fewer variables you use, the better. The population data is particularly expensiveto collect, so I would be grateful if you could tell me whether or not I should continueto use it. However, the system will only be of use to me if the average size of the errormade on p帮做Java程序|帮做R语言编程|帮做Java程序|代做Databaseredictions is less than half a million pounds.I would particularly like to know whether a multi-layer perceptron or a decision treecould help, as my IT director has some experience of these techniques.Please send me a report detailing the following: An introduction to the task and the techniques you used. Please explain whydata mining is suitable for this task; Which variables you chose to investigate, and why you chose them; A detailed description of the process you followed and the results that youfound. This section should contain a lot of detail. Make sure you include thefollowing:o What pre-processing you performed on the data and what problems, ifany, you found and fixed;o A technical description of the two techniques I’ve asked you toinvestigate – how they learn, how they represent the solution and howthey make predictions. Please explain them carefully so that I canunderstand the concept and the maths behind it;o The process you used to arrive at the solution – how did you test it andhow did you establish that it is the best possible solution from the datayou had? Include and explain accuracy measures for each techniqueand each subset of variables that you tried; A full analysis of the results gained by the best model you could find – howaccurate is it? Where does it make errors? A recommendation for which variables I should not pay to collect in future, orin other words, which variables are sufficient for this task? Describe how youcame to this conclusion; A recommendation of which technique I should use and why.The report is all I need you to send me. If I like the results, I can use Weka toreproduce them myself. Please make sure your report contains the detail to allow meto do so.Good luck and thanks for your hard work.Best regards,Ivor BuquetlowdM.D World of Bargains转自：http://www.6daixie.com/contents/13/4957.html