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random_forest_model

Using a random forest model to predict a Pokémon's type based on its ATK,DEF,SPA,SPD,SPE,HP statistics. Choice between gini coefficients and Kullback–Leibler divergence for choosing splitting criterion.

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Using a random forest model to predict a Pokémon's type based on its ATK,DEF,SPA,SPD,SPE,HP statistics. Choice between gini coefficients and Kullback–Leibler divergence for choosing splitting criterion.

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