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Machine Learning

Logistic Regression

Machine Learning· Intermediate

Definition

Despite its name, a classification algorithm (not regression) that models the probability of a binary outcome using the logistic function. Produces well-calibrated probability estimates and is highly interpretable, making it a regulatory baseline in many industries.

Enterprise Context

The default starting point for binary classification in banking (credit approval), insurance (risk scoring), and healthcare (disease prediction) due to regulatory transparency requirements.

Tags

#supervised#classification#interpretable
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