Which one is better, Naive Bayes Algorithm or Decision Trees?

Data Science, AI and ML
#1

Although it depends on the problem you are solving, but some general advantages are following:

Naive Bayes:

  • Work well with small dataset compared to DT which need more data
  • Lesser overfitting
  • Smaller in size and faster in processing

Decision Trees:

  • Decision Trees are very flexible, easy to understand, and easy to debug
  • No preprocessing or transformation of features required
  • Prone to overfitting but you can use pruning or Random forests to avoid that.