Studies of different kernel functions in nuclear mass predictions with kernel ridge regression

The kernel ridge regression (KRR) approach has been successfully applied in nuclear mass predictions. Kernel function plays an important role the KRR approach. In this work, performances of different functions predictions are carefully explored. illustrated by comparing accuracies describing experimentally known nuclei and extrapolation abilities. It is found that approaches with most adopted kernels can reach same level around 195 keV, performance Gaussian slightly better than other ones validation for whole range distances.