Question

Are there any data mining algorithms comparisons? Comparisons in terms of performance, accuracy and the required amount of data for generating the robust model.
It seems that ensemble learning algorithms like bagging and boosting are considered to be the most accurate at this moment.
I don’t have any specific problem to solve. It’s just a theoretical question.

Answer 1

You should search the web for survey papers on Data Mining.

Here is one: Top Ten Algorithms in Data Mining, which gives a ranking instead of a side by side. (It might have that though, I haven’t gone through the paper).