I have been working on a hand recognition project using media pipe(a google library that you give a picture of a hand and it outputs numbers of its positions) and the nearest neighbors algorithm for classifying those points. I just care that it can give more than 1 classification result
When I search "most common classification algorithms" on google, a lot of different ones appear and I don't know which ones I should test as the lists just keep getting bigger.
Apart from the most common ones that I think work for me(Naive Bayes, Nearest Neighbors, Decision tree, Support vector machines). Is there any other one that could be useful?