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MLEA

MLEA. Christopher Chedeau Gauthier Lemoine. Algorithmes. Nu mériques KNN et WKNN Continuousification (Naïve, NBF, VDM, MDV ) Symboliques Naïve Bayesian ID3 (Gain Ratio, Gini, Elagage) Discretization (EFD, EWD). Algorithmes. Centrer & R éduire Cleaning & Distilling K- means (++)

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MLEA

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  1. MLEA Christopher Chedeau Gauthier Lemoine

  2. Algorithmes • Numériques • KNN et WKNN • Continuousification (Naïve, NBF, VDM, MDV) • Symboliques • Naïve Bayesian • ID3 (Gain Ratio, Gini, Elagage) • Discretization (EFD, EWD)

  3. Algorithmes • Centrer & Réduire • Cleaning&Distilling • K-means(++) • K-Fold Cross Validation • Courbes ROC

  4. Balance Valeursnumériquesdiscrètes

  5. Wine Valeursnumériques continues

  6. Paramétrage de la discrétisation

  7. Adult Valeursnumériques et symboliques

  8. Conclusion • ID3 et Naïve Bayesian> KNN (y compris pour des données continues). • Temps d’exécution de KNN prohibitif. • Optimisations de type KD-Tree ne marchent pas toujours. (Curse of dimensions). • Paramétrage nécessaire pour chaque dataset.

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