mining, etc. This paper builds PM2.5 concentration level predictive models based on ANN, Boosting (i.e. AdaBoost.M1), k-NN by … by multiple cross validation. According to 100 replications of 10-fold cross validation, the testing accuracy of AdaBoost.M …1 is around 0.846~0.868, which is the best result among three algorithms in this paper. …

this paper is twofold. On the one hand, we apply the Adaboost.M1 algorithm to improve the accuracy of a classification tree …