Ensemble of ensemble of tree and neural network

Louis Duclos-Gosselin

Plan of the presentation

IntroductionGeneral ModelConclusion

Introduction

This type of model was ranked 30th at PAKDD 2007

The approach explores all possibility and all kind of model to bring The Best Model

It doesn’t over fit It can manage multiple managerial goal

General model

Conclusion The strength of my method is this kind of algorithm

doesn’t over fitting because k-folds-validation and genetic algorithms are used during all the process to keep the over learning as low as possible

This process is particular powerful on small category problem

It can handle different managerial goal All the possibility are explored; all the architecture are

visited; all the parameters are tested We should always test all possibility, all category of model

and all new ideas available in the literature to provide The Best Solution to the manager

We must keep us informed about The Best Technique