Skip to main content
. 2021 Jun 24;2(7):100291. doi: 10.1016/j.patter.2021.100291

Table 4.

Performance of the extremely randomized trees ML algorithm in predicting UG and UV H2 capacities of MOFs under PS and TPS conditions

H2 capacity type R2 AUE (capacity units) RMSE (capacity units) Kendall τ MAE (capacity units)
UG at PS (wt %) 0.997 0.14 0.18 0.961 0.10
UV at PS (g-H2 L−1) 0.984 0.97 1.40 0.922 0.69
UG at TPS (wt %) 0.997 0.16 0.23 0.966 0.10
UV at TPS (g-H2 L−1) 0.967 1.32 1.92 0.819 0.91

R2, AUE, RSME, and MAE represent the coefficient of determination, average unsigned error, root-mean-squared error, and median absolute error, respectively.