Using all variables in Treebagger for RF regression

2017 12 6
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更新时间：2021 8 20
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I have a dataset with 4 variables and 1 predictor output. As random forest by nature takes a random number of variables from 1 to n where n is the number of features, to split at each node. But if I set the number of features to take to n (i.e. Take all 4 variables) will the algorithm still be random forest, or will it becomes something else?

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