… Combining the advantages of DEA and decision tree model, … systems using DEA and
decision tree method. Based on the … decision tree is established and its role in strategic decision …

… risk early warning model of decision tree based on Z-score indicators and it solves the
problem of Z-score model. The empirical research shows that the decision model given by this …

… classification decision tree according to the distance between the different categories in the
process of training and building support vector machine (SVM) classifier for the decision tree. …

… such as the use of Minitab, Bayes and decision trees to mine the data of a national crime area
… Bayesian approach performs better in predictive accuracy than Minitab and decision trees. …

In order to better monitor air quality and make corresponding air protection measures, this
paper uses CART tree to model the air quality level of Shandong Province in 2018, and the …

… method establishes the corresponding decision tree classification model for the characteristics
of wireless channel. Using the real channel data tests the decision tree model and finds …

… , thus the difference between the decision trees in the model is … The decision tree cluster is
selectively constructed by the … impact of low-performance decision trees on the output result, …