Results from “Misspecified branch length distribution” experiments (see Table 1).

The name of each experiment follows this convention: experiment_unif_{number of taxa}_{substitution model}_train_{min}_{max}_test_{min}_{max}. The “min” and “max” correspond to the minimum and maximum parameter values of uniform distributions that were used to simulate training and testing datasets. The following values were computed for each branch and tree length: mean squared error (MSE); mean absolute error (MAE); Spearman’s correlation coefficient (rho); Spearman’s correlation test P value (P_rho); bias (Bias); Kolmogorov-Smirnov test statistic D (D); Kolmogorov-Smirnov test P value (P_D). CNN = convolutional neural network; CNN-ROE = convolutional neural network–regression of observed on estimated values; MLP = multilayer perceptron; MLP-ROE = multilayer perceptron–regression of observed on estimated values; ML = maximum likelihood.
(XLSX)