| W97-1015 | of instances . Besides that , | dynamic splitting | methods produce much more compact |
| W97-1015 | individual trees . The two trees with | dynamic splitting | are much more compact than those |
| W97-1015 | applies the information gain to | dynamic splitting | . The decision trees are implemented |
| W97-1015 | trees for static ( BS-tree ) and | dynamic splitting | ( BD-tree ) by using the weighting |
| W97-1015 | collection of instances , • | dynamic splitting | : re-evaluates the best feature |
| W97-1015 | 2 indicate that the trees with | dynamic splitting | are superior to those with static |
