Hidden Decision Trees
is a statistical and data mining methodology (just like logistic regression, SVM, neural networks or decision trees) to handle problems with large amounts of data, non-linearities and strongly correlated independent variables.
The technique is easy to implement in any programming language. It is more robust than decision trees or logistic regression. Implementations typically rely heavily on large, granular hash tables.
No decision tree is… Continue