Decision Tree, Entropy, Information Gain, Gini Index.
completely different tree being generated. This problem for example can be mitigated by using decision trees within an ensemble 3. Can be non-robust, i.e., a small change in the data can cause a large change in the final estimated tree 4. Predictions are approximate, based on relevant terminal