"BSRF_dataset_S-parameters"

"To predict reflection coefficient (|S11| < -10 dB) and transmission coefficient (|S21| < -50 dB) parameters based on the trained data. The trained model can predict the performance of the BSRF filter based on their design specifications. Three machine learning models are developed and compared, including Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Networks (ANN). Based on four performance evaluation metrics: coefficient of determination (R\\textsuperscript{2}), mean square error (MSE), root mean square error (RMSE), and mean absolute error (MAE), the developed models are compared. The BSRF filter is designed, measured, predicted, and validated with respect to the developed models. The developed models achieve good prediction accuracy with an R2 range from 0.980 to 0.999. The ANN achieves the highest accuracy in the prediction of S-parameters."