Title

Prediction Or Guess? Decide By Looking At Two Images Generated By A "Matlab Mysql" Algorithm

Keywords

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

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. © 2014 Springer International Publishing.

Publication Date

1-1-2014

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

8521 LNCS

Issue

PART 1

Number of Pages

87-97

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-07731-4_9

Socpus ID

84904095794 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84904095794

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