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2 cards from this section. Quick, good the night before a test.
What does logistic regression predict?
Think about examples like spam emails.
Is logistic regression used for classification tasks?
Consider the term 'classification'.
What type of classification is logistic regression used for?
Think about two possible outcomes.
True or False: Logistic regression can predict more than two categories.
Consider the definition of binary classification.
Consider a dataset with 1000 samples where 900 are negative and 100 are positive. If a model predicts all samples as negative, what would be the accuracy, and why is this misleading?
Think about what accuracy measures in terms of true positives and negatives.
Discuss how the choice of threshold in logistic regression affects the model's precision and recall.
Consider what happens when you shift the cutoff point for predictions.
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