Pavini Jain

  • It is a predictive modeling technique.
  • It estimates the relationship between dependent and independent variables.
  • It is used when the output is in binary format(discrete or in categorical format) whereas linear regression is used when the output is continuous in range.
  • Logistic regression curve converts any value to discrete values.
  • There is a threshold that segregates the output as positive or negative(0 or 1).
  • It comes under the category of Supervised Learning under classification.

Linear vs Logistic Regression

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Pavini Jain

Pavini Jain

Student at Jaypee Institute of Information Technology