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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