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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
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