Prediction model of glutamic acid production of data mining based on R language

Abstract

For the modeling problem of microbial fermentation process, taking glutamic acid fermentation process as the research object, the decision tree and the random forest model were established by using the data mining method, and the model was evaluated and predicted by using the R language. Good effect of the decision tree model, indicating that the decision tree package of R language has a certain flexibility, through the choice of parameters can be a useful model. In addition, under the same conditions, a random forest model is constructed. The simulation results show that the combined model based on random forest algorithm is superior to the single decision tree model, and the prediction result is better.