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What is Digitoxin Solubility in Supercritical CO2 about?

This study employs machine learning techniques to estimate the solubility of digitoxin in supercritical CO2, utilizing ensemble methods like AdaBoost combined with Bayesian Ridge Regression, Gaussian process regression, and K-nearest neighbors. The results demonstrate that the AdaBoost with ADA-GPR model achieves the lowest Average Absolute Relative Deviation (AARD%) values for solubility and solvent density, highlighting the effectiveness of these methods in predicting chemical properties. The research emp

Author

hsdanj

Language

EN