Database, Decision Tree, Random Forest, Entropy, Gini Index.
which we test many decision trees on different subsets of the data and take the majority decision across all decision trees. Random Forests extend this technique by only considering a random subset of the input fields at each split. Certain attributes will tend to dominate the decision nodes