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Table 2 The 5 fold cross validated model discriminative characteristics and general predictive performance

From: A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients

MODEL AUROC(SE) AUPRC F1 % ACCURACY % TP % TN % FP % FN BRIER
MTLR 0.9204 (0.0186) 0.8706 0.9194 93.76 50.66 43.14 5.98 0.24 0.0814
PSSP 0.75 (0.027) 0.6584 0.7684 81.4 46.52 34.86 18.12 0.5 0.1974
SLR 0.538 (0.1042) 0.8752 0.937 57.94 49.54 8.4 3.58 38.44 0.1072
  1. TP True positive, TN True negatives, FP false positives, FN False negatives