Extremely Randomized Trees : In Random Forests, the partition is chosen to maximize entropy. In extremely randomized trees, the partition is chosen randomly. This reduces the variance and increases the bias.
Regularized Greedy Forest : This will increase the bias and reduce the variance by boosting and is an additive model.
Regularized Greedy Forest : This will increase the bias and reduce the variance by boosting and is an additive model.
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