The limited size of the dataset constrained the capacity of KNN to adequately learn complex patterns in the data, resulting in inferior performance. Table shows the metrics employed for the prediction task, including mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2).