4.1.2. Gaussian Regression

The following hyperparameters of the GR algorithm were fine tuned, namely, the kernel and the filter type. The kernels considered were the polynomial (poly) kernel, radial basis function (RBF), and the normalized polynomial kernel. The filter types included either the normalization or standardization of the training data. Our findings from the results in Table 3 are noted as follows:



**Table 3.** Performance of different GR parameter settings.
