Molecules Absorption Prediction Using Support Vector, Adaboost, Random Forest and Decision Tree Classification

Classification is supervised machine learning applicable to predict chemicals based on their properties. The chemical properties are derived from its structural and functional groups. Many molecular descriptors have been developed, one of which, was pharmacophore. Pharmacophore a quantitative measure molecules in application as pharmaceutical ingredient. training datasets were 59 categorized adsorption classification carried out divide the set into class using pharmacophores. prediction enolic curcumin degradation product used verify trueness methods Curcumin because there many studies about effect.