Fig. 3

Feature importance in random forest models for in vivo and in vitro turnover numbers. The relative importance as measured by the average decrease in out-of-bag mean squared error (MSE) across trees that results from randomly permuting a given feature (scaled by the standard deviation) is shown. Missing bars indicate permutation importance smaller or equal to zero. The statistical significance of feature importance was evaluated using a permutation test based on 500 permutations of the response variable per model; *p-value < 0.05, **p-value < 0.005. Spearman rank correlation between the importance estimates of the two models is 0.47 (p < 0.021, n = 24, S = 1214, see Methods), ignoring assay-related features that are not used in the model for k_app,max