Incremental Integration Algorithm based on Incremental RLID3

Wang Hongbin,Hu Lei,Xie Xiaodong,Zhou Lianke,Li Huafeng

Algorithm 3-1 PAR_WT algorithm

Input: data sets, the number of base classifiers Output: base classifier and its weight 1. Parallel implementation of the following procedure {//T times T said the number of base classifiers. 2. Being randomly divided into 10 parts of data. 3. Taking out the data set of 9 parts as the training set of the i base classifier. 4. Taking out the data set of 1 parts as the test set of the i base classifier. 5. Using RLID3 algorithm to train thei based classifier. 6. Usingthe formula (2), the classification accuracy of thei base classifier is calculated. 7. Using the formula (3), calculating the weight of thei base classifier. 8. }