Binary classification model: Revision history

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29 January 2023

  • curprev 09:4009:40, 29 January 2023‎ Bmackenty talk contribs‎ 1,458 bytes +1,458‎ Created page with "A binary classification model is a type of machine learning model that is used to classify data into two distinct classes or categories. These models are trained to differentiate between two possible outcomes, such as "yes" and "no", "true" and "false", or "positive" and "negative". Examples of binary classification problems include spam detection, sentiment analysis, and medical diagnosis. Common algorithms used in binary classification include logistic regression, deci..."
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