Research on the Classification of High Dimensional Imbalanced Data based on the Optimization of Random Forest Algorithm

The random forest is stochastic a forest establishment, there are many decision trees; there is no correlation between each decision tree random forest. The establishment of each decision tree, using the random sampling process is put back, and then uses the voting form of classification and prediction. The algorithm can solve the bottleneck in the performance of a single classifier, so it is wide…