Machine learning | MATLAB implements RF random forest model answering (fitness function)
Table of contents
basic introduction
Machine learning | MATLAB implements RF random forest model answering (fitness function) and Bayesian optimization
Answer one
Genetic Algorithm (GA) is an optimization algorithm based on natural selection and genetic mechanism, which can be used to solve various complex optimization problems. When using genetic algorithm to optimize the random forest regression problem, the fitness function needs to reflect the prediction accuracy and generalization ability of the random forest model. The following describes how to set the fitness function and its principle process and formula.
- Random Forest Regression Model
- Random Forest (RF) is an ensemble learning method consisting of multiple decision trees. In a random forest regression model, each decision tree splits the data set and fits a regression model with the split data. Finally, the random forest regression model predicts each decision tree by