DTREG
  • DTREG is the ideal tool for modeling business and medical data with categorical variables such as sex, race and marital status.

  • Decision trees present a clear, logical model that can be understood easily by people who are not mathematically inclined.

  • If you have a need for linear or nonlinear regression analysis, check out the NLREG program.

  • You also should check out the News Rover program that automatically scans Usenet newsgroups, downloads messages of interest to you, decodes binary file attachments, reconstructs files split across multiple messages, and eliminates spam and duplicate files. News Rover also has a built-in MP3 music search engine and can quickly locate music files on any Usenet newsgroup.

    Titanic Passenger Survival Analysis


    Type of tree: Classification
    Task: Classify which passengers survived the sinking of The Titanic

    Story behind the data: The sinking of the Titanic is a famous event, and new books are still being published about it. Many well-known facts - from the proportions of first-class passengers to the "women and children first" policy, and the fact that that policy was not entirely successful in saving the women and children in the third class - are reflected in the survival rates for various classes of passenger. These data were originally collected by the British Board of Trade in their investigation of the sinking.

    For each person on board the fatal maiden voyage of the ocean liner Titanic, this dataset records sex, age (adult/child), booking class (first/second/third class, or crew) and whether or not that person survived. Note: There is not complete agreement among primary sources as to the exact numbers on board, rescued, or lost.

    Source: "Report on the Loss of the 'Titanic' (S.S.)" (1990), British Board of Trade Inquiry Report (reprint), Gloucester, UK: Allan Sutton Publishing.

    Submitted by: Robert J. MacG. Dawson, Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Nova Scotia B3H 3C3 Canada



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