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Attribute Selection
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Summary
Attribute selection is like picking the best crayons from a box to make the prettiest picture. It helps computers choose the most important pieces of information to learn from when solving problems.
Concepts
Feature Selection
Dimensionality Reduction
Information Gain
Principal Component Analysis
Overfitting
Irrelevant Features
Feature Importance
Wrapper Methods
Filter Methods
Embedded Methods
Relevant Degrees
Database Structures 60%
Probability and Statistics 40%
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