This research has offered to reduce the size of the data by using the Random Forest algorithm with the purpose to reduce the size of the tree that is created by using the Decision Tree algorithm to recognize a mushroom by the random data as the number of 100, 500 and 1000, and then import a Random number of random Forest, the trees and then look up the importance of the attribute that caused the incorporation of the node and leaf in the random forest (mean decrease in Gini) if any attribute has a value ranging from 0-NN0D99 to remove the attribute from the trip data, and then import data into Decision Tree algorithm to compare the size of Dalian.Namai, and accuracy. Experimental results showed that when random data at 100 and 500. Information can reduce the size of the tree, and the value must not be reduced.
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