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Answer:

Logistic Regression is used to solve the classification problems, so it’s called as Classification Algorithm that models the probability of output class. It is a classification problem where your target element is categorical

Explanation:

The answer is "classification" because the named the Classification Algorithm.

  • It was used to solve classification difficulties. You are faced with a categorization situation wherein your goal component is a category.
  • In the presence of more than one dependent variable, it's being used to calculate odds ratios.
  • The binomial dependent variables render this approach similar to multiple linear regression.
  • In the end, each variable's impact on a particular event's odds ratio is calculated.

Learn more:

Logistic Regression: brainly.com/question/20363984