Many scientific problems entail labeling data items with one ... many different decision trees are grown by a randomized tree-building algorithm. The training set is sampled with replacement ...

However, Decision Trees can suffer from high variance and instability, which can be addressed by Bagging and Random Forests. Bagging involves generating multiple trees on bootstrapped samples of the ...