Control Ore Processing Quality Based on Xgboost Machine Learning Algorithm
Published • Apr 1, 2023
NobleIDNI5P09W83R72S53
Authors:,,
Zibin Bi
Chenxi Fu
Junyi Zhu
Abstract
In this paper, we study the problem of quality control of ore processing, using xgboost machine learning algorithm of sklearn module in python, sample interpolation method, 011 minimization loss model and confusion matrix to build xgboost regression prediction model and classification prediction mod...
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