Predicting Fraud: Another Not So Easy Task - Machine Learning Times - machine learning & data science news
Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
SHARE THIS:

3 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 complexity increases.

To view this content
Login OR subscribe for free

Already receive the Machine Learning Times emails?
The Machine Learning Times now requires legacy email subscribers to upgrade their subscription - one time only - in order to attain a password-protected login and gain complete access.

Click here to complete this one-time subscription upgrade

Existing Users Log In
   
New User Registration
*Required field

Comments are closed.

Pin It on Pinterest

Share This