CatBoost achieved the highest average R-squared value of about 0.946 in a multi-task regression task for pectin process parameters, with raw material type identified as the most influential input feature.
25 ML for Pectin Process PredictionA Preprint P.Zhou, X.Li, Y.Lu, Z.Jiang, andL.Shen
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A Comparative Analysis of Machine Learning Algorithms for Multi-Task Prediction of the Parameters of the Pectin Hydrolysis--Extraction Process
CatBoost achieved the highest average R-squared value of about 0.946 in a multi-task regression task for pectin process parameters, with raw material type identified as the most influential input feature.