hrothgar Posted September 1, 2020 Report Share Posted September 1, 2020 So, I am working on a machine learning project to see whether I can build a classifier that can accurately predict bidding preferences based on one’s answers to a relatively small number of bridge questions. This is described in more detail at https://bridgewinners.com/article/view/what-famous-bridge-player-are-you-more-formally-applying-cluster-analysis-to-bidding-problems/ As a first step in this process, I need to select 50 or so bidding questions (and then try to get a bunch of people to answer them all) My plan is to use hands from TBW’s Master Solver’s Club. (The main reason that I am doing so is that I can look at number of votes that different answer got. In turn, this allows me to choose questions in which there are relatively even split decisions. Questions where there is unanimity or near unanimity aren’t that useful) If anyone is interested in helping out and providing some questions, it would be greatly appreciated. (Note, Jeff Rubens already gave permission) FWIW, the following issues are already taken care of June 2013September 2014October 2015November 2015December 2015February 2016March 2016April 2016May 2016July 2016July 2017 Best way to help is to identify some issues that you're willing to look at and then send me 1. The complete bidding problem2. The tabulated list of answers (with the vote count) Thanks in advance Quote Link to comment Share on other sites More sharing options...
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