ANLY482 AY2016-17 T2 Group19 Methodology

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Protegelogo-01.svg

Protege overview.svg   OVERVIEW

Protege data.svg   DATA

Protege Methods.svg   METHODOLOGY

Protege Analysis.svg   ANALYSIS

Protegemaster-03.svg   FINDINGS

Protege poster.svg   POSTER

Data Set Acknowledgement

The raw data was collected from Company Z on the 12th of January 2016 and is described as follows:

  • Sales data from Pharmaceutical Wholesale Distributions
  • Itemised transactions occurring in the years 2014 to 2016

-Insert Name of Model

Explanation of the use of this model, why use this, any special treatment done in order to use this model?

Since logistic regression is sensitive to data with skewed distributions, it becomes important to standardize our continuous data to fit a normal distribution as closely as possible. This resulted in balance, duration, campaign, previous and pdays being transformed to provide a better fit for the model.

Steps and approach elaboration