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Prediction or Guess? Decide by Looking at Two Images Generated by a “MATLAB MySQL” Algorithm

  • Carlos Rodríguez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8521)

Abstract

In the field of data mining, predictive modeling refers to the usage of a statistical model built on a training data set in order to make predictions about new prospects contained in the scoring data set. A model should not be used to predict when it encounters unseen data in the scoring set because such predictions would be a guess or a speculation. This paper proposes an algorithm that will produce two simple images and a “level of guessing” (LOG) pie chart. These images will tell the analyst whether or not it is appropriate to use a statistical predictive model to make predictions on a particular scoring set. The proposed algorithm will offer a solution to the scoring adequacy problem based on subsets of the original data. The algorithm will be implemented with a user interface built with MATLAB code, which acts on MySQL databases that contain the data.

Keywords

predictive modeling data mining scoring set supervised learning MATLAB MATLAB GUI MySQL 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Carlos Rodríguez
    • 1
  1. 1.Institute for Simulation and TrainingUniversity of Central FloridaOrlandoUSA

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