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Ensemble of ensemble of tree and neural network

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

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Ensemble of ensemble of tree and neural network

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

  2. Plan of the presentation • Introduction • General Model • Conclusion

  3. 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

  4. General model

  5. 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

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