Enhancing the Predictive Accuracy of Corrosion Inhibition Efficiency Using Gradient Boosting with Feature Engineering and Gaussian Mixture Model

Prediction The development of Quantitative structure property relationship (QSPR) models for predicting corrosion inhibition efficiency (IE) often faces challenges due to small datasets, which heightens the risk of overfitting and results in less reliable performance assessments. This research creat...

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Главные авторы:	Sahrul Amri, Muhamad Akrom, Gustina Alfa Trisnapradika
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Politeknik Negeri Batam 2025-12-01
Серии:	Journal of Applied Informatics and Computing
Предметы:	corrosion inhibition machine learning gradient boosting regressor feature engineering gaussian mixture model data augmentation
Online-ссылка:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11560
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