Machine Learning Times
Machine Learning Times
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Wise Practitioner – Predictive Analytics Interview Series: Oscar Porto and Fábio Ferraretto at DHAUZ
 In anticipation of their upcoming presentation at Predictive Analytics...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
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Podcast: Real-Time Machine Learning: Why It’s Vital and How to Do It
  Welcome to the next episode of The Machine Learning...
PAW Preview Video: Aric LaBarr, Institute for Advanced Analytics at NC State University
 In anticipation of his upcoming presentation at Predictive Analytics...
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5 years ago
Predicting Fraud: Another Not So Easy Task

 As I have stated in previous articles, the most difficult challenge in building predictive models is the creation of the analytical file. Typically, this comprises between 80%-90% of the data scientist’s time with 10%-20%  comprising the actual run or runs of the different mathematical/statistical algorithms. In the creation of the analytical file, the two elements in its design are the development of the target variable and the development of the independent variables or potential predictor variables. The data challenges are a reality in creating the right analytical file. Yet, with certain models such as fraud, the level of

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