In the case of True, this value sets the largest size of each sample for each tree. max_samples - This parameter assumes bootstrapping is set to True, if not, this parameter doesn’t apply.bootstrap - the default value for this is True, meaning the model follows bootstrapping principles (defined earlier).max_features - the maximum number of features the model will consider when determining a split.max_depth - this sets the maximum possible depth of each tree.We can select from loss functions such as mean squared error (MSE) and mean absolute error (MAE). criterion - this variable allows you to select the criterion (loss function) used to determine model outcomes.
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