Logistic regression

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Revision as of 01:08, 26 April 2024 by Rice (talk | contribs) (Created page with "= Linear regression = Linear regression cannot be directly used for (binary) classification. Indirectly, a threshold is used. When the value is above the threshold, it is considered 1; when it is below, it is considered 0. Classification using linear regression is sensitive to the threshold. The problem with this approach is the difficulty in determining a good threshold.")
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Linear regression

Linear regression cannot be directly used for (binary) classification. Indirectly, a threshold is used. When the value is above the threshold, it is considered 1; when it is below, it is considered 0.

Classification using linear regression is sensitive to the threshold. The problem with this approach is the difficulty in determining a good threshold.