A classification technique (or classifier) is a systematic
approach to building classification models from an input data set.
Examples include decision tree classifiers, rule-based classifiers,
neural networks, support vector machines, and naïve Bayes
classifiers. In your own words, describe each of these techniques
and provide a scenario in which each technique would be most
appropriate.
Use your textbook and outside resources in the formulation of
your response. Cite the sources you use to make your response.