Machine Learning Fundamentals › Logistic Regression

What are best practices for Logistic Regression

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Answer

Scale your input features before training, check for multicollinearity between features, and choose the decision threshold based on the real cost of false positives and false negatives.

Real-world example An email service uses logistic regression to estimate the probability that a message is spam, then marks it as spam if that probability is above a chosen threshold.

Common follow-ups: What is linear regression, What is a confusion matrix, What is the sigmoid function

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