An improved random forest based on the classification accuracy and correlation measurement of decision trees

• Published in: Expert systems with applications Vol. 237; p. 121549
• Main Authors: Sun, Zhigang, Wang, Guotao, Li, Pengfei, Wang, Hui, Zhang, Min, Liang, Xiaowen
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2024
• Subjects: CART; Classification accuracy; Correlation measurement; Dot product; Random forest; Correlation measurement; Random forest; Classification accuracy; Dot product; CART

•Propose an improved random forest based on the improvement of decision trees.•Improve the evaluation mechanism for the classification effect of decision trees.•Propose a method for quantifying the diversity between decision trees.•Multiple tests verify the superiority of the proposed improved rando...