Decision Tree

Build interactively • Expected values (Rollback) • Visualisation

Build Tree

Node types: β–  Decision – selects the branch with highest EV  |  β–  Chance – probabilities of all branches must sum to 1  |  β–  Outcome – payoff (leaf node)
Example 1 – Investment:
Decision: invest or not. If invested: Success (P=0.6, +200) or Failure (P=0.4, βˆ’80).
Example 2 – Product choice:
Two products each with three market scenarios. Product A has a sub-branch (Normal β†’ Expand/Withdraw).