fig1

Figure 1. The schematic framework of our ML. In SISSO-based ML, an iterative strategy is chosen to enhance the complexity of the model. The iterative processing will be considered convergence when the increase of R2 is less than 0.02. ML: Machine learning; SISSO: sure independence screening and sparsifying operator; R2: coefficient of determination.