A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch … See more

Decision-tree elements
Drawn from left to right, a decision tree has only burst nodes (splitting paths) but no sink nodes (converging paths). So used … See more

Decision trees can also be seen as generative models of induction rules from empirical data. An optimal decision tree is then defined as a … See more

Among decision support tools, decision trees (and influence diagrams) have several advantages. Decision trees:
• Are … See more

A few things should be considered when improving the accuracy of the decision tree classifier. The following are some possible optimizations to consider when looking to make sure the decision tree model produced makes the correct decision or classification. Note … See more

It is important to know the measurements used to evaluate decision trees. The main metrics used are accuracy, sensitivity, specificity, precision, miss rate, false discovery rate, and false omission rate. All these measurements are derived from the number of See more

• Behavior tree (artificial intelligence, robotics and control) – Mathematical model of plan execution
• Boosting (machine learning) – Method in machine learning
• Decision cycle – Sequence of … See more