The dataset was randomly divided into a training set (80%) and a test set (20%) . The prediction model was evaluated through 5-fold cross-validation. We compared the results of two regression models, including Random Forest (RF) to capture nonlinear interactions between synthesis conditions and CD properties and k-nearest neighbors (KNN) to analyze the proximity to known data points and its simplicity .