Fig. 2
From: Higher-order factorization machine for accurate surrogate modeling in material design
The surrogate modeling performance of the 2nd and 3rd-order FMs for an analytical function. The output of surrogate functions as a function of input (\({d}_{x}\)) after training (a–c) 2nd-order FM and (d–f) 3rd-order FM. Black dots are the output directly evaluated from the analytical function. (a, c) Dataset size = 100, binary vector length = 10. (b, d) Dataset size = 200, binary vector length = 10. (e, f) Dataset size = 216, binary vector length = 20.
