Ensemble of ensemble of tree and neural network Louis Duclos-Gosselin

Plan of the presentation  Introduction  General Model  Conclusion

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