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. 2019 Mar 14;14(3):e0213848. doi: 10.1371/journal.pone.0213848

Table 3. The results from the two times five-fold DTU Food cross-validation procedure of the cocktail models with different active-to-inactive ratios.

Training set QSAR2:1 QSAR3:1 QSAR4:1 QSAR4:1-R Rational-final Random-final
Predictions in LPDM and DTU Food domain TP 982 724 648 994 775 1,132
TN 2,247 2,58 3,079 4,657 3,679 5,228
FP 263 423 513 432 552 486
FN 204 248 281 188 264 178
AD, % 74.0±1.7 59.7±2.4 54.3±2.1 75.4±1.2 57.0±1.4 75.9±1.1
Cooper statistics Sens., % 82.8±3.4 74.5±4.3 69.6±5.5 84.0±3.8 74.5±4.7 86.4±2.6
Spec., % 89.5±1.8 86.0±2.9 85.7±2.5 91.5±1.8 87.0±1.6 91.5±0.8
BA, % 86.1±2.0 80.2±2.3 77.6±3.0 87.8±2.2 80.8±2.5 88.9±1.0
Prevalence of actives 1% PPV, % 7.4 5.1 4.7 9.1 5.5 9.3
NPV, % 99.8 99.7 99.6 99.8 99.7 99.9
Prevalence of actives 5% PPV, % 29.3 21.9 20.4 34.2 23.2 34.9
NPV, % 99.0 98.5 98.2 99.1 98.5 99.2
Prevalence of actives 10% PPV, % 46.7 37.2 35.1 52.3 38.9 53.0
NPV, % 97.9 96.8 96.2 98.1 96.8 98.4

TP = true positive, TN = true negative, Ttotal = total number of true predictions, FP = false positive, FN = false negative, Ftotal = total number of false predictions, Sens. = sensitivity, Spec. = specificity, BA = balanced accuracy, PPV = positive predictive value (the percentage of true positives among the predicted positives), NPV = negative predictive value (the percentage of true negatives among the predicted negatives)