“…Here, protection was modeled with a multi‐dimensional, multi‐group CoxPH survival model, combining animals from all adjuvant groups and employing aggressive feature filtering, to incorporate only a small number of features. The use of a Cox modeling approach follows that used in recent studies (Bradley et al , ; Ackerman et al , ), so as to avoid having to discretize protection levels (Chung et al , ; Vaccari et al , ). We found that to avoid overfitting, it was necessary to perform feature pre‐filtering and employ greedy feature elimination methods to narrow down the number of features used by the Cox model (Frejno et al , ); regularization techniques (Simon et al , ) displayed substantially poorer performance, resulting in empty models (i.e., with no features selected), likely due to the semi‐parametric formulation of the Cox PH model and the small sample size of the study.…”