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Computing a Threshold
- Goal: Determining a threshold c that produces the greatest information gain.
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Approach:
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Sort examples according to the continuous attribute A.
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Identify adjacent examples that differ in their target classification.
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Generate a set of candidate thresholds midway between the corresponding values of A (c must always lie at such a boundary, see [5]).
- Evaluate candidate thresholds by computing the information gain associated with each.
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- Example:
- Two candidate thresholds at which the value of PlayTennis changes: (48+60)/2, (80+90)/2
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Information gain for the first threshold is higher.
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