Decreasing the Randomness of Random Forests
نویسندگان
چکیده
The Random Forest algorithm is an ensemble technique that can achieve high accuracy on classification and regression with minimal tuning of parameters. This paper analyzes the effectiveness of the Random Forest classification algorithm under decreasing randomness in the bootstrap sampling procedure, in increasing tournament size, and in tournament participant selection.
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تاریخ انتشار 2004