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What do you mean by logistic regression?

Answer»

Logistic regression acts as a PREDICTIVE model which is used to analyse large datasets to determine a binary output considering an INPUT variable is provided. The binary output can take only limited number of values which can be 0/1, true/false or yes/no.

Logistic regression make use a sigmoid function in order to determine various POSSIBLE outcomes and their corresponding probabilities of occurrence and then MAP them both on a graph. There is always an acceptance threshold which is set to determine WHETHER a particular instance belongs to that class or not. If the probability of an outcomes is more than that threshold then that instance belongs to that class otherwise it doesn’t belong to that class if the probability is less than the acceptance threshold. There are three types of logistic regression. These are as listed below.

  • Binary logistic regression
  • Ordinal logistic regression
  • Multinomial logistic regression


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