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Data Science for Business By: Fawcett & Provost CH 3: "…

- - - - Characteristics: attributes,
        feat ure vector,
        instances
  - - - Characteristics: training data (labeled data),
        induces models for both classification and
        for regression
  - - - Characteristics: mathematical, logical statement,
        or a hyrbid of the two
- - - - Based on purity measure,
        entropy
        
        Entropy: a mesure of disorder
        applied to a set
        
        Write-offs and non-write-offs
      - Measure how informative
        an attribute is
        
        Fundamental Concept:
        a natural measure of
        impurity for numeric values
        is variance
      - Ex) Attribute selection
        w/ Information Gain
        
        Calculate info. gain and
        illustrate entropy (w/ shading)
        
        GOAL: as little shaded = lowest entropy