Research Article
Aggregated Recommendation through Random Forests
Algorithm 2
Random forest.
Input: size of forest (N), condition attributes (C), decision attribute (d) | Output: | Method: | (1) generate aggregated training and testing set | (2) | (3) while do | (4) randomize C | (5) , , | (6) | (7) end while | (8) | (9) return |
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