Fig. 6: 90% confidence intervals of the regularized regression coefficients from applying LASSO to the full model (marked in blue) and the best subset model (marked in red) respectively. | npj Computational Materials

Fig. 6: 90% confidence intervals of the regularized regression coefficients from applying LASSO to the full model (marked in blue) and the best subset model (marked in red) respectively.

From: Factorial design analytics on effects of material parameter uncertainties in multiphysics modeling of additive manufacturing

Fig. 6

The X-axis contains the labels for the model terms, where PA, λ, μ, γ, − dγ/dT, are denoted by X1, X2, X3, X4, X5 respectively. The plot illustrates the regression coefficients on a dual Y-axis scale, with the Y-axis on the right displaying the range of values for the regression coefficient of X1, and the Y-axis on the left representing the range of values for the regression coefficients of all other variables. The regression coefficient for X1 exhibits a significantly different magnitude from other variables. A dotted line demarcates the boundary between the two Y-axes, with values on the left corresponding to the left Y-axis, and values on the right corresponding to the right Y-axis.

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