Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework
Fig 7
Model comparison, female fertility homing drive without resistance.
For this comparison, drive fitness and efficiency were varied while other parameters were kept at default values. A 1000 by 1000 array of queries was made to both GP models; color indicates model predictions of drive success or failure, as well as confidence. Black and white square dots show results from simulations using the underlying model. Each square dot denotes the result of twenty simulations performed at each point. This overlay serves as a visual validation of the GP framework; the actual model behavior in this parameter range (i.e., how drive success depends on model parameters) is discussed in more detail in the “Selected Model Outcomes” section below. See S2–S5 Figs for similar plots for the other models.