University of the Western Cape researchers argue that South Africa should embrace artificial intelligence for predictive policing.
Naïve Bayes starts on the premise that features — the variables that serve as input — are conditionally independent, meaning that the presence of one feature does not affect the others.Recursive Feature EliminationThis tool assists in selecting the more significant features in a dataset and removing the weaker ones, with the objective of improving the results.
We compared the results of our enhanced Naïve Bayes against that of the original Naïve Bayes, as well as against other predictive algorithms such as Random Forests and Extremely Randomized Trees . As the Chicago CLEAR system illustrates, predictive models work best when you have lots of relevant data to work with.