Model-Specific Confidence Estimation Algorithm
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A Model-Specific Confidence Estimation Algorithm is a Confidence Scoring Algorithm that is specific to a predictive model type.
- Examples(s):
- a CRF-specific Confidence Scoring Algorithm.
- a Decision Tree-specific Confidence Scoring Algorithm, that can use the Leaf Node Class Distribution.
- an SVM-specific Confidence Scoring Algorithm, that can use the SVM Margin Value.
- …
- Counter-Example(s):
- See: Hypothesis Testing Algorithm.