A Study of Measurement Modeling of Decision Trees in Machine Learning Processes
Guo Li,
Yi Qin,
Minghua Wang
Abstract:Accompanied by the rapid development of economy and science and technology, the ordinary measurement model with a single method of parameter determination and accuracy is not guaranteed, which has made it difficult to adapt to the measurement needs of complex data in industrial engineering and other systems. This study proposes a measurement model for complex data through the optimization of decision trees in the process of machine learning. Firstly, the gradient-boosting-based decision tree measurement model … Show more
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