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Regression Comparison

src/data/question-groups/data-analyst/content/regression-comparison.md

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On one side, the first one is used when predicting a continuous outcome, such as revenue, and on the other side logistic regression is better for categorical or binary outcomes, such as churn (yes/no). This type of regression applies a sigmoid function to output probabilities, making it great for classification tasks.