I found the following list of seven classifiers:

  • Linear Classifiers: Logistic Regression, Naive Bayes Classifier
  • Nearest Neighbor
  • Support Vector Machines
  • Decision Trees
  • Boosted Trees
  • Random Forest
  • Neural Network

What are genetic algorithms, and why aren't they considered as part of the seven classifiers?

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    $\begingroup$ Welcome to Data Science Stacke Exchange. To help get a relevant answer for you, could you explain why you think Genetic Algorithms should be listed as a classifier (use edit to add that information to your question)? After all, there are lots of other technical concepts not included in that list of seven . . . $\endgroup$ Oct 26 '19 at 15:19

A fast search on Google for the term "Genetic Algorithms" will return you this answer:

"A genetic algorithm is a search heuristic that is inspired by Charles Darwin's theory of natural evolution"

So, the term is usually associated with a "search heuristic", for example the search for a local optima.

By that common definition: Genetic Algorithms are not listed among these 7 classifiers since it is not a classifier, it would be in a list of optimization methods like Gradient Descent (and it's variation), Grid Search, Random Search, etc.

  • $\begingroup$ Thank you very well explained also am having issue finding my previous post on here can you help me out. $\endgroup$ Oct 27 '19 at 19:08
  • $\begingroup$ You should find all of your answers/questions on your profile activity datascience.stackexchange.com/users/84373/… If you can't find it, you probably used another account to ask it, try searching it by Title, if you don't find, it might have been deleted. $\endgroup$ Oct 27 '19 at 19:11

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