set is chosen to make future predictions.

Using the methodology described above, two ANNs are chosen to predict the gs energy and the gs point proton rms radius. The ANN prediction results for the gs energies and gs proton rms radii of $^6\mathrm{Li}$ are presented in detail in this section. Comparison with the ab initio NCSM calculation results is also provided for the available data at $N_{\rm max} = 12-18$. Figure \[fig:Li6\_gs\_energy\] presents the gs energy of $^6\mathrm{Li}$ as a function of the HO energy, $\hbar\Omega$, at selected values of the basis truncation parameter, $N_{\rm max}$. The dashed curves connect the NCSM calculation results using the Daejeon16 NN interaction for $N_{\rm max} = 2-10$, in increments of 2 units, used for ANN training and testing. The solid curves link the ANN prediction results for $N_{\rm max} = 12-70$. The sequence from $N_{\rm max} = 12-30$ is in increments of 2 units, while the sequence from $N_{\rm max} = 30-70$ is in increments of 10 units. The lowest horizontal line corresponds to $N_{\rm max} = 70$ and represents the nearly converged result predicted by ANN. Convergence is defined as independence of both basis space parameters, $\hbar\Omega$ and $N_{\rm max}$. The convergence 