Here is a concise summary of the classification methods and results of the paper: > Modeling was conducted with a variety of machine learning algorithms using

Here is a concise summary of the classification methods and results of the paper: > Modeling was conducted with a variety of machine learning algorithms using the scikit-learn library: K-Nearest Neighbors, Naive Bayes, Logistic Regression, and DecisonTreeClassifier, as well as XGBoost and LightGBM. Models were trained and tuned on the train and validation splits, evaluating only once on the held-out test set for our final numbers. Direct link to ROC figure: https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0258535.g002 https://journals.plos.org/plosone/article/figure?id=10.1371/...