Distribution of the mass-loss rate ratio between interpolated and true values for the test dataset. Left: Ratio between interpolated and true values for the test dataset using the DNN (blue), the RBF with a linear kernel (red), and the RBF with a inverse_multiquadratic kernel (green). For the DNN, ~92% of the points have ratios lying between 0.5 and 2, while for RBF and interpol2024 (not shown for better visualisation) it is ~83% and ~78%, respectively. Right: Cumulative distribution of the fraction of points having the mass-loss rate ratio in the 0.1–10 range. DNN interpolation outperforms the other methods. The RBF interpolation with linear and inverse_multiquadratic (inv_mul) are nearly identical. The choice of shape parameter ϵ and degree of polynomials are different and have been obtained via a grid-based optimisation process, as described in Appendix C.