Top 5 Difference between Linear Regression and Logistic Regression

  1. In case of Linear Regression the outcome is continuous while in case of Logistic Regression outcome is discrete (not continuous)
  2. To perform Linear regression we require a linear relationship between the dependent and independent variables. But to perform Logistic regression we do not require a linear relationship between the dependent and independent variables.
  3. Linear Regression is all about fitting a straight line in the data while Logistic Regression is about fitting a curve to the data.
  4. Linear Regression is a regression algorithm for Machine Learning while Logistic Regression is a classification Algorithm for machine learning.
  5. Linear regression assumes gaussian (or normal) distribution of dependent variable. Logistic regression assumes binomial distribution of dependent variable.
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