On an Improved Bagging Decision Tree Algorithm in Microarray Data
Qing Liu · Computer Engineering and Science · 2005
Based on the characteristics of high dimension and small sample, this paper investigates the improvements of bagging decision trees which aim mainly at improving computation time and accuracy. A discretization procedure is proposed, resulting in a dramatic speedup without significant decrease in accuracy. Then a new class distribution confidence is suggested improving the accuracy of the final bagging decision tree. Combining these improvements makes it get excellent performance on gene microarray data.