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Logistic Distribution

This lesson is part of NumPy · All levels

Summary

Logistic distributions are similar to normal but have thicker tails, so they are often used in logistics regression analysis and classification models. The curve is S-shaped (sigmoid) when its cumulative function is observed.

Key points

With loc = median/location, scale = distribution.
It has a thicker tail than normal distribution.
It often appears on logistic regression and sigmoid activation functions.
The mean and median are at the loc value.

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