Logistic Regression

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Logistic regression:

It is a classification algorithm used to assign observations to a discrete set of classes. Some of the examples of classification problems are Email spam or not spam, Online transactions Fraud or not Fraud, Tumor Malignant or Benign. Logistic regression transforms its output using the logistic sigmoid function to return a probability value. 

What are the types of logistic regression? 

 1. Binary Classification (eg. Tumor Malignant or Benign) 
 2. Multi-class Classification (eg. Cats, dogs or monkey)


 

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