this study introduces a novel approach employing the K-nearest neighbor (KNN) algorithm for designing a planar microwave filter. It explores the application of supervised machine learning techniques.

In addressing diverse data types, the K-Nearest Neighbors (KNN) algorithm displays pronounced variability in accuracy. Determining the optimal range for the number of adjacent sample points, k, and ...