| |
Learning Method Options
(K)-Nearest Neighbor
- Need Commensurable Attribute Values
- Sensitive to Irrelevant Attributes
- Labeling Speed - Training Set Size
Neural Nets
- Hard to Interpret
- Can Require More Computation & Training Data
- +Fast, Accurate when Trained
Decision Trees
- Intelligible, Robust to Irrelevant Attributes
- +Fast, Compact when Trained
- ?Rectangular Decision Boundaries, Don't Test Feature Combinations
Alternative: Mixture of Experts
|