ear members of the Decision Management Community, Thank you for bringing your April / May 2015 predictive analytics problem to my attention. I was not aware of this challenge, presumably because I joined the corresponding LinkedIn group very recently. I started looking into this problem only today, after receiving your email. In any case, I found the challenge stimulating and I would like to present you the solution that I have found. This is not at all my field of research and it is moreover the first tim e I participate in such a challe nge, so I'm far from being certain that the result is correct. The prediction is based on a naïve Bayesian model. The code is written in R, and it relies on the e1071 package from the TU Wien. The input data is provided in an easily human - readable file. I enclose the input file (patients.dat) and my R script (patients.r) in the attachment of this email. According to this short code and the database that was provided, patient 21's illness is likely to be a cold - with a probability of somewhat above 83%, or an allergy, but the latter only with a probability of 12.4%. The probability of a flu is estimated to be very small in this case, with merely 3.8% . I hope that this result is correct and that you will find this submi ssion interesting. Thank you again for establishing this challenge and for bringing it to my attention. Yours sincerely, Riccardo Hertel Thank You for Applying to our Ambassador Program Thank you so much for your interest in partnering with us. We have received your application and while we aren't currently accepting new ambassadors to the program, we will review all submissions and reach out to you if that changes. Thank you for your application Thank you for your application. Your Reference number is: The next step: If you have applied for a full-time course you will receive an interview letter shortly. If you have applied for a part-time course or an Apprenticeship you will be contacted by our Information Team with further details. May we take this opportunity to thank you for your interest in Barnsley College, if you have any questions please do not hesitate to contact us by telephone: +44 (0)1226 216 106 or by email: interviews@barnsley.ac.uk We look forward to you joining us and wish you every success in your studies. Mel Jenkinson Head of Student Recruitment Thank You for Submitting Your Application to PSC Thank you for your application. Let us take this opportunity to welcome you to Prairie State College. Your admission application will be processed within two to three business days. You will receive a welcome letter in the mail, which will include your student identification number and other information regarding your enrollment. Please visit the sites below for additional information or contact Enrollment Services. The First Year Experience at PSC The First Year Experience Department (FYE) is dedicated to assisting you as you begin your college journey. FYE is located on the first floor of the main building in office 1181 across from Enrollment Services. Assistance provided includes: Face to face orientation (college information, campus tour, information from current students) Online orientation (college information available on your schedule – 24/7) Academic advising (appointments scheduled, walk in assistance provided) Discover what you need to be successful at PSC. Explore the campus and become connected to the PSC community. Be a PSC Pioneer. For more information contact: Dr. Stefanie Coleman, (708) 709-3622 or scoleman1@prairiestate.edu Lee Helbert, (708) 709-3639 or lhelbert@prairiestate.edu

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