Double Cost Sensitive Random Forest Algorithm by ZHOU Yan-long, SUN Guang-lu

“…In the feature selection stage, the method of generating cost vector with lower time complexity is proposed, and the cost vector is introduced into the calculation of split attributes, so that it can select s廿ong features more tendentiously without destroying the randomness of random forest; in the integration stage, the misclassification price is introduced to select the decision l:J·ee set which is more sensitive to a few types of data. …”
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