Fig. 4
A Mean test R2 of machine learning regression (DT and RF; blue dots and lines) and LR (orange dots and lines) for final Pareto optimal pipelines using dataset with random variables replaced by increasing XOR interactions. Gray shading around lines represents S.E. B Mean test R2 of machine learning regression (DT and RF; blue dots and lines) and LR (orange dots and lines) for final Pareto optimal pipelines using datasets with putative QTL (main effects) replaced by increasing XOR interactions. Gray shading around lines represents S.E. C Stacked bar graphs illustrating the proportion of root regressors in final Pareto fronts with increasing number of epistatic pairs for datasets with random variables replaced by increasing XOR interactions. Orange bars = LR pipelines. Purple bars = DT pipelines. Blue bars = RF pipelines. Numbers inside bars represent respective proportions of each root regressor in that run. D Stacked bar graphs illustrating proportion of root regressors in final Pareto fronts for datasets with putative QTL (main effects) replaced by increasing XOR interactions. Colors of bars and numbers in bars represent the same features as in C. E Stacked bar graphs illustrating the proportion of encoder type in final Pareto fronts for datasets with random variables replaced by increasing XOR interactions. Pink bars = 2-level encoders. Green bars = 3-level encoders. Yellow = no encoder selected (Additive encoding). Numbers inside bars represent respective proportions of encoder in that run. F Stacked bar graphs illustrating the proportion of encoder type in final Pareto fronts for datasets with putative QTL (main effects) replaced by XOR epistatic interactions. Colors of bars and numbers in bars represent the same features as in E