Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework
Fig 8
“First order effects” describe the effects of varying a single parameter. “Total effects” include the first order effects of the parameter, as well as potential synergistic interactions between that parameter and one or more other parameters. Analyses of drive models without resistance sampled 24 million points from the parameter space. Analyses on drive models with resistance sampled 28 million points. These analyses are from the models trained on the suppression rate due to their somewhat better accuracy. Analyses of the composite model were similar.