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With these definitions, answer the following: | With these definitions, answer the following: | ||
- | * How should we choose $c_r$ and $c_a$ such that the majority classifier and the minority classifier both have an error of 0.5? (The minority classifier is analogous to the majority classifier, except that it classifies everything as negative). Section 1.4.1 in the book has a brief discussion of error measures. | + | * How should we choose $c_r$ and $c_a$ such that the majority classifier and the minority classifier both have an error of 0.5? (The minority classifier is analogous to the majority classifier, except that it classifies everything as positive, since we assumed the positive class has fewer representatives). Section 1.4.1 in the book has a brief discussion of error measures. |