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Binary classification: Difference between revisions
Created page with "==Introduction== Binary classification is a type of supervised machine learning task in which an algorithm is trained to classify an input into one of two possible categories, often represented as "positive" and "negative". To train its algorithm, it uses an existing dataset which contains inputs and their labels indicating which category each belongs in. Once trained, this algorithm can be applied to new inputs to predict their labels accurately. A binary classificatio..."
(Created page with "==Introduction== Binary classification is a type of supervised machine learning task in which an algorithm is trained to classify an input into one of two possible categories, often represented as "positive" and "negative". To train its algorithm, it uses an existing dataset which contains inputs and their labels indicating which category each belongs in. Once trained, this algorithm can be applied to new inputs to predict their labels accurately. A binary classificatio...") |
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