Performances of original and swap models based on classification algorithm level similarity analysis. a) Endpoint D original models; b) Endpoint E original models; c) Endpoint D swap models; and d) Endpoint E swap models. Coordinate axes are MCC (internal validation), Val_MCC (external validation) and MCC_Std (internal validation standard deviation). Each classification algorithm is represented by a different color. The radius of each sphere is related to the number of model features, within a range of 50-1 000. The blue stars are our own models, while spheres are models from which our models were developed.