Are there any data comparison algorithms? Comparison in terms of performance, accuracy and the required amount of data to create a reliable model. It seems that ensemble training algorithms, such as a bag and forcing, are considered the most accurate at the moment. I have no specific problem to solve. This is just a theoretical question.
You should search the Internet for data mining reference materials.
Here is one of them: Ten algorithms in Data Mining , which gives a rating instead of side by side. (Perhaps this, however, I did not view the article).
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