Poisson Regression

Poisson Regression

Poisson Regression

Description

Poisson Regression is a type of linear regression used to model the countable data.

Why to use

For regression analysis of count data

When to use

For numerical variables

When not to use

For textual variables

Prerequisites

  • The data should contain variables having countable data points.
  • The data should not contain any missing/NaN values.

Input

Numerical variable which is countable.

Output

  • Regression Key Performance Indicators (KPIs)
  • Regression Statistics
  • Actual Vs. Predicted scatter plot

Statistical Methods used

  • Deviance
  • Mean Absolute Error
  • Mean Squared Error

Limitations

It can be used only on numerical data.



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