Classifier illustration
DTS
RF is an ensemble algorithm based on the Decision Tree (DT). The basic idea of RF is bagging: features selected into the RF model are simultaneously voted by all independent DTs in the forest, and this process conforms to the principle of majority subordination. RF integrates the results of all DTs, obtaining higher model performance than any individual DT, while avoiding overfitting. At the same time, this algorithm can effectively solve the problem of feature collinearity because of its “if…else” calculation logic [