What is wrong with conventional statistical methods ?
Manual hypothesis testing:
Not practical with large numbers of variables
User-driven… User specifies variables, functional form and type of interaction:
User intervention may influence resulting models
Assumptions on linearity, probability distribution, etc.
May not be valid
Datasets collected with statistical analysis in mind
Not always the case in practice