Figure 2.

Mtb machine learning algorithm comparisons for an internal leave-out (A-B) and external test set (RCB) set (C-D) at three thresholds (100 nM, 1 μM and 10 μM) based on the rank normalized scores. Rank normalized score (A, C) and ΔRNS (B,D) distributions. Each floating bar represents the entire range of the scores and individual points are shown in yellow. The solid central line represents the median. Legacy AC = Legacy Assay Central (Bayesian), rf = Random Forest, knn = k-Nearest Neighbors, svc = Support Vector Classification, bnb = Naïve Bayesian, ada = AdaBoosted Decision Trees, DL = Deep Learning, xgb = xgboost, lreg = linear regression.