So what?

• ``Random Trees'' a few inputs near root, some functions may need bushy trees (e.g. parity) $\Rightarrow$ commoner in full trees.
• Depth limit promotes near full trees rather than random
• Size limit promotes asymmetric trees. Good for data mining??
• Density of solutions indication problem difficulty
• No point searching above threshold?
• Predict where threshold is?